ALGORITHMS FOR OPENINGS OF BINARY AND LABEL IMAGES WITH RECTANGULAR STRUCTURING ELEMENTS
MARC V AN DROOGENBROECK
Department of Electricity,Electronics and Computer Science
Monte?ore B-28,Sart Tilman,B-4000Li`e ge,Belgium
URL:http://www.ulg.ac.be/telecom
Abstract.Two new families of algorithms for computing openings of binary and label images are presented in this paper.The?rst family of algorithms is based on an horizontal scan,and a vertical scan that takes the result of the horizontal scan as input.With the results of these two scans it is possible to compute an opening with respect to a rectangle of any size.The second family of algorithms is based on the construction of an exhaustive list of rectangles included in an object.Rectangles of this list all have a maximal extension,i.e. no larger rectangle included in a region contains them.The opening then results from?lling the output image with rectangles larger than the structuring element.After a description of the algorithms we provide a comparison of several algorithms in terms of computation time ef?ciency.The comparison shows that some of the new algorithms advantageously compete with existing algorithms.
Key words:Algorithm,binary opening,opening of a label image
1.Introduction
While most of the research efforts on ef?cient algorithms were focused on gray level openings,binary openings still play an important role in industrial applications.As often in mathematical morphology,a direct transcription of the de?nition is an inef-?cient way to implement operators.Most ef?cient algorithms result either from the operator properties or from a geometrical interpretation.
In this paper we propose alternatives to implement binary openings with respect to rectangles.The algorithms are inspired by the geometrical interpretation of a bi-nary opening.After a brief reminder we review existing algorithms,describe new algorithms and compare the algorithms.
1.1.D EFINITIONS
We?rst recall the de?nitions and notations used in this paper.Let be discrete sets de?ned on.The erosion and dilation of a set are de?ned as:
2MARC V AN DROOGENBROECK
The opening results from an erosion followed by a dilation:
.A set of size,denoted,is usually de?ned as
(1)
dilations
In this paper we adopt a different convention for convenience and assume that, for linear structuring elements,is a-pixels wide segment.We also assume the structuring element to be a rectangle.
1.2.R EVIEW OF EXISTING ALGORITHMS
Suppose where,respectively are horizontal and vertical seg-ments,and we need to compute.A direct application of the de?nition leads to an algorithm with a complexity proportional to,i.e.to the area of the structuring element.A better approach,called linear decomposition,is based on the chain rule and results in.The complexity of the linear decomposition is proportional to.Although better algorithms exist,some commercial softwares implement binary openings with the linear decomposition al-gorithm because of its simplicity.P ECHT[6]and VAN DEN B OOMGAARD[8]have established a logarithmic decomposition which further reduces the computation time. The logarithmic decomposition suppresses the redundancy inherent to recursive dila-tions with a unique structuring element.For example,if denotes the border of ,it can be shown that.According to the property that states that(see[10]),other decompositions are possible.could as well has been written as. This formulation offers the small advantage that only two different types of dilation are needed instead of three.
A completely different approach to the implementation of openings was provided by C HAUDHURI[1]who extended the work of H UANG et al.[3].Both authors based their algorithms on a local histogram computed in a sliding window.Contrary to other methods the computation time of histogram based algorithms does not depend on the size of the structuring element,but it depends on the image content.
In[11]VAN H ERCK proposed a1-D algorithm based on separability and a combi-nation of block recursive series which are evaluated forwards and backwards.Similar ideas led G IL and K IMMEL[2]to the de?nition of ef?cient algorithms.In their scheme an opening is not seen as an erosion followed by a dilation,but rather as the supremum of translated versions of a function.
Although all these algorithms were developed for a function they are applicable to binary openings.Algorithms dedicated to binary openings have also been proposed. VAN V LIET[12]et al.,S CHMITT[7],and later V INCENT[13]provided methods which analyze the border of both and.L AY[5]developed an algorithm based on the distance function.The geometric interpretation,that an opening is the union of translated included in,led V AN D ROOGENBROECK[9]to propose a propagation algorithm for binary openings with a rectangle and a method for the direct computation of linear openings(also applicable to functions).Although
,direct linear opening algorithms can still help reducing the computation times as
ALGORITHMS FOR OPENINGS OF BINARY AND LABEL IMAGES3
.Algorithms based on the geometric interpretation of openings have the drawback that they depend on the content of the image which makes a hardware implementation harder.But implemented in software they appear to be competitive in terms of computing time.
2.First family of algorithms:2D scan-based algorithms
The algorithms of the?rst family can be summarized as follows.In a?rst phase we scan the input image and build two matrices.These matrices contain all the informa-tion needed to perform an opening with a rectangle of any size.In the second phase the output image is?lled with thresholded values of a matrix computed during the?rst scan.
Our algorithms,called“2-D scan”hereafter,are similar to fast erosion and dila-tion algorithms that use thresholded distance maps except that our techniques directly provide the opening and work with two matrices.
2.1.D ESCRIPTION OF THE FIRST PHASE
The?rst matrix,denoted or,is?lled with the distance of each pixel contained in an object to the right border of that object.An horizontal scan from right to left provides the result.To compute the second matrix,denoted,the algorithm compares the values in the columns of.is the length of the vertical segment of that has all its value larger or equal to.Fig.1gives a simpli?ed version of the corresponding program fragment.A worked out example is provided in Fig.2.
2.2.D ESCRIPTION OF THE SECOND PHASE
The?rst phase does not depend on the size of the structuring element;it is a generic phase that provides all the rectangles included in.Because was built on ,it appears that and suf?ce to compute the opening with a rectan-gle of any size.In the second phase,each pair of elements is analyzed in order to?nd appropriate values.Suppose we want to compute .If and then the value is copied in the output image,denoted,not only at but also in the column at neigh-boring positions where?ts.These neighboring positions are such that.Because of possible multiple accesses to,it is important that a new value is put in only if it is larger than the previous value.
After all pairs have been analyzed contains the run lengths of all the hori-zontal segments of.It then remains to?ll the output image to the right according to the values of.The second phase,when performed on the object of Fig.2,is illustrated in Fig.3.
2.3.I MPLEMENTATION ISSUES
There are several ways to optimize the algorithm.The major optimization techniques are listed hereafter:
Better use of hardware and software characteristics.Due to the linear structure of
4MARC V AN DROOGENBROECK
for all do
if then
/*Scan to the top*/
while do
end while
/*Scan to the bottom*/
while do
end while
else
end if
end for
Fig.1.Program fragment for building.
Original image HOR VER 111110001054321000102555700010 111111010065432101001444670700 011111110007654321000333566700 111111111098765432101222455550 011111111008765432100222455550 010011111101006543210800233333 111011111132106543212220233333 111101111143210543211111033333 Fig.2.A binary object and its corresponding two matrices and.
memory blocks,accesses along a row in a2-D array are faster than accesses along
a column.In order to accelerate the computation of,is transposed
before being stored.
Avoid some computation redundancy.If then
and belong to the same rectangle,and therefore have the same vertical
extension.This means that.
Avoid rewriting pixels in the output image.As can be seen in Fig.2and Fig.3,
ALGORITHMS FOR OPENINGS OF BINARY AND LABEL IMAGES5
Original image INTERMEDIATE RESULT OUT 111110001004000000000111100000 111111010005000000000111110000 011111110005004000000111111100 111111111005005400000111111110 011111111005005400000111111110 010011111100005400000000111110 111011111100005400000000111110 111101111100000400000000011110
Fig.3.Illustration of the second phase:the last image is the opening for.Positions where and have been underlined.
some pixels are part of several run lengths.To avoid that a pixel of
is addressed several times,the algorithm starts?lling,and compares the remaining length to the value of the intermediate matrix for each location.Then it adapts the remaining length if the value contained in the intermediate matrix is the largest.
All these optimizations were included in the implementations.
2.4.G ENERALIZATION TO LABEL IMAGES
Algorithms based on the geometrical interpretation of an opening are easily extended to label images;in practice it is suf?cient to check the value of each label.How the2D scan-base algorithm applies to label images is illustrated in Fig.4.In this example, the image is made of4regions labelled1to4.The label0indicates that a pixel does not belong to any region.
3.Second family of algorithms:list-based algorithms
3.1.P RINCIPLE
If all the rectangles included in were known,it would be straightforward to keep the rectangles larger than to perform.However we do not need all the rectangles as some of them might be included in other rectangles.The second family of algorithms we propose builds a list of rectangles such that
all rectangles of are maximum in size:if such that for one of the rectangles included in,then is included in
the list does not contain any redundant rectangle:contained in, and.
3.2.S UMMARIZED DESCRIPTION
A complete description of the algorithm is beyond the scope of this paper because it would be necessary to discuss many pathological con?gurations and the program is about1000lines of C code long.We therefore limit the description to the major steps.
6MARC V AN DROOGENBROECK
LABEL IMAGE 111222222223 111122222333 111122223333 411122233333 444112222333 444442223333 444442223333 444422223333
HOR 321876543211 432154321321 432143214321 132132154321 321214321321 543213214321 543213214321 432143214321
VER 344111111118 233422222778 233433332778 533448812778 444111111778 222224443778 222224443778 333314443778
OUT 111022220000 111122220333 111122220333 011122200333 444002220333 444002223333 444002223333 444002223333
Fig.4.The2D scan-based algorithm applied to a label image().
The list-based algorithm?rst calculates.Then is scanned line per line starting from the upper left-hand corner.When a value is encountered the algorithm looks for the vertical extension of the newly detected rectangle.The position of the upper left corner is stored in a C structure as well as other informations,like the width and the height of the rectangle.After having put the rectangle(which has a size of)in a list,the algorithm moves to the next pixel.It then tries to detect a rectangle that would be smaller in width but larger in height.Such a new rectangle is wide of pixels and
.If such a rectangle exists it is added to the list.Fig.5shows detected rectangles and the corresponding list.The detection process is repeated as long as .
In order to counter the detection of redundant rectangles the algorithm uses an additional matrix,denoted.A critical case,where R3could be detected several times,is shown in Fig.6.Locations that led to the detection of a rectangle have to be marked as follows.Suppose is a pixel belonging to the?rst column of such that equals the width of.Let be the set vertical coordinates of the?rst column of.,if then. As an example,with the image of Fig.5,the algorithm has detected21non-redundant rectangles.
The?nal result,a list of rectangles,may be seen as a particular data structure for a skeleton or medial axis transform.This is not surprising as it is well known that some skeletons can be expressed as erosions and openings.In his thesis[4],K RESCH
ALGORITHMS FOR OPENINGS OF BINARY AND LABEL IMAGES
7
111110001054101111110Original image
HOR
321000100654321010001111111000765432100111111111098765432100111111110087654321001001111110100654321111011111132106543211111011111
432
1054321
(i,j)=(0,0) Width=5 Height=2(i,j)=(1,0) Width=4 Height=5(i,j)=(4,0) Width=1 Height=7...
Fig.5.An image,the
matrix and the ?rst elements of the list of rectangles
.
R1
R2
R3
Fig.6.Multiple detections of rectangle R3have to be avoided.
developed several variants of skeleton transforms.
There is an other issue with list-based algorithms:intersections between rectan-gles.As a direct consequence of the detection process,rectangles have a non-empty intersection with all the rectangles detected during the scan of the same run-length.For a large object it is not rare to have a ratio between the sum of areas of the non-redundant rectangles and the area of larger than .The problem of multiple intersections has to be solved as otherwise the computation time would dramatically increase due to multiple accesses to .Therefore we developed two solutions:1.Avoid rewriting pixels in owing to the technique described in section 2.3.2.Stores all the intersections between elements of .For each rectangle of ,intersections between and other rectangles are stored as a list joined to the C structure of .A thorough examination of all the intersections leads to a variant of the algorithm,called area-speci?c hereafter,for which no output pixel is written twice.The rule is that,when processing a list member of ,is ?lled with pixels of the set difference where has a larger height than and a width .This even allows to compute the area of without having to ?ll the output image.The area-speci?c algorithm combined with a progressive
8
MARC V AN DROOGENBROECK
cleaning of the list is particularly suited for the computation of a granulometric curve.
4.Discussion and comparison
We have implemented different algorithms for binary openings.All the algorithms have been optimized and algorithms applicable to functions,like the histogram based algorithm,have been rewritten for the case of binary images.The computation times were obtained with the gprof pro?ler.4.1.C OMPUTATION
TIMES OF OUR ALGORITHMS
Figure 7presents the computation times of 2D scan and listed-based algorithms.Curve 1(Generic 2D scan-based )was obtained with an implementation that includes all the optimization techniques we discussed in section 2.3.
0.10.20.30.40.50.60.70.80.951015
20
25303540
C o m p u t a t i o n t i m e [s ]
Size n
1. Generic 2D scan-based
2. Size-specific 2D scan-based
3. List of rectangles
4. List of rectangles (area specific)
https://www.doczj.com/doc/1a18296916.html,putation times of 2D scan and list-based algorithms with respect to a
square.
Curve 2(Size-speci?c 2D scan-based )corresponds to a particular implementation where we used the size of the structuring element during the building of and
.All values strictly lower than the rectangle size were replaced by zeros.As a consequence the ?rst phase is not generic anymore but this implementation cuts the computation times by half.The respective contributions of the ?rst and second phase to the total amount of time is about 80%-20%.
In the case of list-based algorithms the respective contributions of the ?rst and second phase to the total amount of time is about 90%-10%.List-based algorithms
ALGORITHMS FOR OPENINGS OF BINARY AND LABEL IMAGES
9
are mainly justi?ed when openings with multiple sizes are needed,for example when computing a granulometric curve.
As can be seen from the curves,the computation time slightly decreases with the size.This unusual behavior is speci?c to the algorithms.It can be explained by a decreasing number of rectangles included in when rectangles get larger.
4.2.C OMPARISON
WITH OTHER ALGORITHMS
Fig.8compares the computation times of several algorithms on a large binary image.As mentioned previously we have reimplemented algorithms applicable to gray level images to include several optimizations.For the particular case of VAN H ERK ’s al-gorithm (often used as a benchmark),we transposed the intermediate matrix twice,after and ,to achieve a fair comparison with our algorithms.
0.10.2
0.30.4
0.50.6
0.7
0.8
C o m p u t a t i o n t i m e [s ]
Size n
https://www.doczj.com/doc/1a18296916.html,putation times of several algorithms for binary openings with respect to a
square.
As can be seen on the graph,the size speci?c 2D scan-based algorithm is the fastest algorithm.It is twice as fast as VAN H ERK ’s algorithm that needs 3comparisons per pixel for an erosion or a dilation.
Computation speed is only one criteria for comparison.Other criteria are provided in table I.Algorithms that allow multiple simultaneously computations permit ef?-cient computations of granulometric curves.It should be mentioned that algorithms that process openings in a single step can be used for the computation of binary ero-sions as well,as .
An extension to gray level images is more dif?cult and until now we did not ?nd a
10MARC V AN DROOGENBROECK
way to extend our algorithms to the general case of gray level openings.
Program complexity Low Low Medium High
Relative computation speed Fast Fast Very fast Slow
Applicable to label images Yes No Yes Yes
Allow multiple computations No No Yes Yes
Dependent on the content Slightly No Yes Yes
“的、地、得”的用法和区别 导入（进入美妙的世界啦~） “的、地、得”口诀儿歌 的地得，不一样，用法分别记心上， 左边白，右边勺，名词跟在后面跑。 美丽的花儿绽笑脸，青青的草儿弯下腰， 清清的河水向东流，蓝蓝的天上白云飘， 暖暖的风儿轻轻吹，绿绿的树叶把头摇， 小小的鱼儿水中游，红红的太阳当空照， 左边土，右边也，地字站在动词前， 认真地做操不马虎，专心地上课不大意， 大声地朗读不害羞，从容地走路不着急， 痛快地玩耍来放松，用心地思考解难题， 勤奋地学习要积极，辛勤地劳动花力气， 左边两人双人得，形容词前要用得， 兔子兔子跑得快，乌龟乌龟爬得慢， 青青竹子长得快，参天大树长得慢， 清晨锻炼起得早，加班加点睡得晚， 欢乐时光过得快，考试题目出得难。 知识典例（注意咯，下面可是黄金部分！） 的、地、得 “的”、“地”、“得”的用法区别本是中小学语文教学中最基本的常识，但在使用中也最容易发生混淆，再加上一段时间里，中学课本中曾将这三个词的用法统一为“的”，因此造成了很多人对它们的用法含混不清进而乱用一通的现象。
一、“的、地、得”的基本概念 1、“的、地、得”的相同之处。 “的、地、得”是现代汉语中高频度使用的三个结构助词，都起着连接作用；它们在普通话中都读轻声“de”，没有语音上的区别。 2、“的、地、得”的不同之处。 吕叔湘、朱德熙所著《语法修辞讲话》认为“的”兼职过多，负担过重，而力主“的、地、得”严格分工。50 年代以来的诸多现代汉语论著和教材，一般也持这一主张。从书面语中的使用情况看，“的”与“地”、“得”的分工日趋明确，特别是在逻辑性很强的论述性、说明性语言中，如法律条款、学术论著、外文译著、教科书等，更是将“的”与“地”、“得”分用。 “的、地、得”在普通话里都读轻声“de”，但在书面语中有必要写成三个不同的字：在定语后面写作“的”，在状语后面写作“地”，在补语前写作“得”。这样做的好处，就是可使书面语言精确化。 二、“的、地、得”的用法 1、的——定语的标记，一般用在主语和宾语的前面。“的”前面的词语一般用来修饰、限制“的”后面的事物，说明“的”后面的事物怎么样。结构形式一般为：形容词、名词（代词）+的+名词。如： ①颐和园(名词)的湖光山色（主语）美不胜收。 ②她是一位性格开朗的女子(名词，宾语)。 2、地——状语的标记，一般用在谓语（动词、形容词）前面。“地”前面的词语一般用来形容“地”后面的动作，说明“地”后面的动作怎么样。结构方式一般为：形容词（副词）+地+动词（形容词）。如： ③她愉快(形容词)地接受(动词，谓语)了这件礼物。 ④天渐渐(时间副词)地冷(形容词，谓语)起来。 3、得——补语的标记，一般用在谓语后面。“得”后面的词语一般用来补充说明“得”前面的动作怎么样，结构形式一般为：动词（形容词）+得+副词。如： ⑤他们玩(动词，谓语)得真痛快(补语)。
of与for的用法以及区别 for 表原因、目的 of 表从属关系 介词of的用法 （1）所有关系 this is a picture of a classroom （2）部分关系 a piece of paper a cup of tea a glass of water a bottle of milk what kind of football，American of soccer？ （3）描写关系 a man of thirty 三十岁的人 a man of shanghai 上海人 （4）承受动作 the exploitation of man by man．人对人的剥削。 （5）同位关系 It was a cold spring morning in the city of London in England． （6）关于，对于 What do you think of Chinese food？ 你觉得中国食品怎么样？ 介词 for 的用法小结 1. 表示“当作、作为”。如: I like some bread and milk for breakfast. 我喜欢把面包和牛奶作为早餐。What will we have for supper? 我们晚餐吃什么?
2. 表示理由或原因,意为“因为、由于”。如: Thank you for helping me with my English. 谢谢你帮我学习英语。 Thank you for your last letter. 谢谢你上次的来信。 Thank you for teaching us so well. 感谢你如此尽心地教我们。 3. 表示动作的对象或接受者,意为“给……”、“对…… (而言)”。如: Let me pick it up for you. 让我为你捡起来。 Watching TV too much is bad for your health. 看电视太多有害于你的健康。 4. 表示时间、距离,意为“计、达”。如: I usually do the running for an hour in the morning. 我早晨通常跑步一小时。We will stay there for two days. 我们将在那里逗留两天。 5. 表示去向、目的,意为“向、往、取、买”等。如: let’s go for a walk. 我们出去散步吧。 I came here for my schoolbag.我来这儿取书包。 I paid twenty yuan for the dictionary. 我花了20元买这本词典。 6. 表示所属关系或用途,意为“为、适于……的”。如: It’s time for school. 到上学的时间了。 Here is a letter for you. 这儿有你的一封信。 7. 表示“支持、赞成”。如: Are you for this plan or against it? 你是支持还是反对这个计划? 8. 用于一些固定搭配中。如: Who are you waiting for? 你在等谁? For example, Mr Green is a kind teacher. 比如,格林先生是一位心地善良的老师。
to与for的用法和区别 一般情况下, to后面常接对象; for后面表示原因与目的为多。 Thank you for helping me. Thanks to all of you. to sb.表示对某人有直接影响比如，食物对某人好或者不好就用to; for表示从意义、价值等间接角度来说，例如对某人而言是重要的，就用for. for和to这两个介词，意义丰富，用法复杂。这里仅就它们主要用法进行比较。 1. 表示各种“目的” 1. What do you study English for? 你为什么要学英语？ 2. She went to france for holiday. 她到法国度假去了。 3. These books are written for pupils. 这些书是为学生些的。 4. hope for the best, prepare for the worst. 作最好的打算，作最坏的准备。 2．对于 1．She has a liking for painting. 她爱好绘画。 2．She had a natural gift for teaching. 她对教学有天赋/ 3．表示赞成同情，用for不用to. 1. Are you for the idea or against it? 你是支持还是反对这个想法？ 2. He expresses sympathy for the common people.. 他表现了对普通老百姓的同情。 3. I felt deeply sorry for my friend who was very ill. 4 for表示因为，由于（常有较活译法） 1 Thank you for coming. 谢谢你来。 2. France is famous for its wines. 法国因酒而出名。 5．当事人对某事的主观看法，对于（某人），对…来说（多和形容词连用）用介词to，不用for.. He said that money was not important to him. 他说钱对他并不重要。 To her it was rather unusual. 对她来说这是相当不寻常的。 They are cruel to animals. 他们对动物很残忍。 6．for和fit, good, bad, useful, suitable 等形容词连用，表示适宜，适合。 Some training will make them fit for the job. 经过一段训练，他们会胜任这项工作的。 Exercises are good for health. 锻炼有益于健康。 Smoking and drinking are bad for health. 抽烟喝酒对健康有害。 You are not suited for the kind of work you are doing. 7. for表示不定式逻辑上的主语，可以用在主语、表语、状语、定语中。 1．It would be best for you to write to him. 2．The simple thing is for him to resign at once. 3．There was nowhere else for me to go. 4．He opened a door and stood aside for her to pass.
的、地、得的用法和区别 的、地、得的用法和区别老班教育 一、的、地、得的基本概念 1、的、地、得的相同之处。 的、地、得是现代汉语中高频度使用的三个结构助词，都起着连接作用；它们在普通话中都读轻声de，没有语音上的区别。 2、的、地、得的不同之处。 吕叔湘、朱德熙所著《语法修辞讲话》认为的兼职过多，负担过重，而力主的、地、得严格分工。50 年代以来的诸多现代汉语论著和教材，一般也持这一主张。从书面语中的使用情况看，的与地、得的分工日趋明确，特别是在逻辑性很强的论述性、说明性语言中，如法律条款、学术论著、外文译著、教科书等，更是将的与地、得分用。 的、地、得在普通话里都读轻声de，但在书面语中有必要写成三个不同的字：在定语后面写作的，在状语后面写作地，在补语前写作得。这样做的好处，就是可使书面语言精确化。 二、的、地、得的用法 （一）、用法 1、的——定语的标记，一般用在主语和宾语的前面。的前面的词语一般用来修饰、限制的后面的事物，说明的后面的事物怎么样。 结构形式一般为：形容词、名词（代词）+的+名词。如： 颐和园(名词)的湖光山色（主语）美不胜收。 她是一位性格开朗的女子(名词，宾语)。 2、地——状语的标记，一般用在谓语（动词、形容词）前面。地前面的词语一般用来形容地后面的动作，说明地后面的动作怎么样。 结构方式一般为：形容词（副词）+地+动词（形容词）。如： 她愉快(形容词)地接受(动词，谓语)了这件礼物。 天渐渐(时间副词)地冷(形容词，谓语)起来。 3、得——补语的标记，一般用在谓语后面。得后面的词语一般用来补充说明得前面的动作怎么样。 结构形式一般为：动词（形容词）+得+副词。如： 他们玩(动词，谓语)得真痛快(补语)。 她红(形容词，谓语)得发紫(补语)。 （二）、例说 的，一般用在名词和形容词的后面，用在描述或限制人物、事物时，形容的词语与被形容的词语之间，表示一种描述的结果。如：漂亮的衣服、辽阔的土地、高大的山脉。结构一般为名词（代词或形容词）+的+名词。如，我的书、你的衣服、他的孩子，美丽的景色、动听的歌曲、灿烂的笑容。 地，用法简单些，用在描述或限制一种运动性质、状态时，形容的词语与被形容的词语之间。结构通常是形容词+地+动词。前面的词语一般用来形容后面的动作。一般地的后面只跟动词。比如高兴地跳、兴奋地叫喊、温和地说、飞快地跑；匆匆地离开；慢慢地移动......... 得，用在说明动作的情况或结果的程度时，说明的词语与被说明的词语之间，后面的词语一般用来补充和说明前面的情况。比如。跑得飞快、跳得很高、显得高雅、显得很壮、馋得直流口水、跑得快、飞得高、走得慢、红得很……得通常用在动词和形容词（动词之间）。
For的用法 1. 表示“当作、作为”。如: I like some bread and milk for breakfast. 我喜欢把面包和牛奶作为早餐。 What will we have for supper? 我们晚餐吃什么? 2. 表示理由或原因,意为“因为、由于”。如: Thank you for helping me with my English. 谢谢你帮我学习英语。 3. 表示动作的对象或接受者,意为“给……”、“对…… (而言)”。如: Let me pick it up for you. 让我为你捡起来。 Watching TV too much is bad for your health. 看电视太多有害于你的健康。 4. 表示时间、距离,意为“计、达”。如: I usually do the running for an hour in the morning. 我早晨通常跑步一小时。 We will stay there for two days. 我们将在那里逗留两天。 5. 表示去向、目的,意为“向、往、取、买”等。如: Let’s go for a walk. 我们出去散步吧。 I came here for my schoolbag.我来这儿取书包。 I paid twenty yuan for the dictionary. 我花了20元买这本词典。 6. 表示所属关系或用途,意为“为、适于……的”。如: It’s time for school. 到上学的时间了。 Here is a letter for you. 这儿有你的一封信。 7. 表示“支持、赞成”。如: Are you for this plan or against it? 你是支持还是反对这个计划? 8. 用于一些固定搭配中。如: Who are you waiting for? 你在等谁? For example, Mr Green is a kind teacher. 比如,格林先生是一位心地善良的老师。 尽管for 的用法较多，但记住常用的几个就可以了。 to的用法: 一：表示相对，针对 be strange (common, new, familiar, peculiar) to This injection will make you immune to infection. 二：表示对比，比较 1：以-ior结尾的形容词，后接介词to表示比较，如：superior ,inferior,prior,senior,junior 2: 一些本身就含有比较或比拟意思的形容词，如equal，similar，equivalent，analogous A is similar to B in many ways.
《“的、地、得”的用法》语文微课教案 一、教学背景 在语言文字规范化大背景下，帮助学生解决应用“的地得”的疑惑与困难。 二、设计思路 针对学生对于“的地得”的误用与忽视展开教学，规范结构助词“的地得”的使用。按照“问题的提出、问题的分析、问题的解决”的思路展开教学，总结归纳优化的方式方法。 三、教学目标 1、知道“怎么样的什么、怎么样地干什么、干得怎么样”三种固定搭配。 2、掌握“的、地、得”的区别与联系。 3、运用小儿歌“动前土、名前白、行动后面双人来”的口诀帮助正确使用“的、地、得”。 四、教学重难点 1、知道“的、地、得”的区别。 2、在实际情境中正确运用“的、地、得”。 五、教学时间 8分钟微课堂 六、教学适用对象 义务教育九年制内的学生 七、教学准备
多媒体课件、录屏软件 八、教学设计与过程 开场白： 同学们好！今天我们一起来学习“的、地、得”的正确用法。首先我们来了解一下它们的区别。 1、相同之处：原来它们都是念轻声“de”，都是结构助词，起连接作用。 2、不同之处：在书面语中要写成三个不同的字，而且它们的搭配及用法也各不相同。 （1）怎么样的什么 （2）怎样样地干什么 （3）干得怎么样 下面我们就来学习一下它们的正确用法。 白勺“的”的结构是用“形容词或名词或代词+的+名词”来表示，而我们最常见，用得最多的还是“形容词+的+名词”的结构。 而土也“地”的用法可以用“形容词+地+动词”的结构来表示。 双人“得”是用“动词+得+形容词”的结构来表示 3、练习巩固 （1）形近区分 静静（的）河面静静（地）写字欢乐（的）山谷
欢乐（地）歌唱满意（地）点头满意（的）作品 （2）类别区分 1）跑（得）飞快飞快（地）跑 2）愉快（的）旅行旅行（得）愉快 3）强烈（的）渴望强烈（地）渴望 （3）综合杂糅 小雏鹰飞到大树的上方，高兴地喊起来：“我真的会飞啦！而且飞（得）很高呢！” 小结：能填对这个句子的你肯定就已经学会它们的用法了！ 4、特殊情况 质疑：假如遇到特殊情况怎么办呢？ 我从书包里拿出书交给她们，她们高兴得．围着我跳起舞来。（出自二年级上册《日记两则》） （1）质疑：为什么这里要使用“得”呢？ （2）释疑：原来这里强调的是心情，动词在后，形容词在前，相当于后置，“得”修饰“跳舞”而非“围”。现在你明白了吧？ 5、小结归纳： 怎么样，你们学会了吗？为了让同学们能够更快的记住它们的用法，老师送给大家一首口诀来帮助你们熟记三个“的”的正确使用方法：动前土、名前白、行动后面双人来。
of 1....的,属于 One of the legs of the table is broken. 桌子的一条腿坏了。 Mr.Brown is a friend of mine. 布朗先生是我的朋友。 2.用...做成的;由...制成 The house is of stone. 这房子是石建的。 3.含有...的;装有...的 4....之中的;...的成员 Of all the students in this class,Tom is the best. 在这个班级中,汤姆是最优秀的。 5.(表示同位) He came to New York at the age of ten. 他在十岁时来到纽约。 6.(表示宾格关系) He gave a lecture on the use of solar energy. 他就太阳能的利用作了一场讲演。 7.(表示主格关系) We waited for the arrival of the next bus. 我们等待下一班汽车的到来。
I have the complete works of Shakespeare. 我有莎士比亚全集。 8.来自...的;出自 He was a graduate of the University of Hawaii. 他是夏威夷大学的毕业生。 9.因为 Her son died of hepatitis. 她儿子因患肝炎而死。 10.在...方面 My aunt is hard of hearing. 我姑妈耳朵有点聋。 11.【美】(时间)在...之前 12.(表示具有某种性质) It is a matter of importance. 这是一件重要的事。 For 1.为,为了 They fought for national independence. 他们为民族独立而战。 This letter is for you. 这是你的信。
1.两者都可以引出间接宾语，但要根据不同的动词分别选用介词to 或for：(1) 在give, pass, hand, lend, send, tell, bring, show, pay, read, return, write, offer, teach, throw 等之后接介词to。 如： 请把那本字典递给我。 正：Please hand me that dictionary. 正：Please hand that dictionary to me. 她去年教我们的音乐。 正：She taught us music last year. 正：She taught music to us last year. (2) 在buy, make, get, order, cook, sing, fetch, play, find, paint, choose,prepare, spare 等之后用介词for 。如： 他为我们唱了首英语歌。 正：He sang us an English song. 正：He sang an English song for us. 请帮我把钥匙找到。 正：Please find me the keys. 正：Please find the keys for me. 能耽搁你几分钟吗(即你能为我抽出几分钟吗)? 正：Can you spare me a few minutes? 正：Can you spare a few minutes for me? 注：有的动词由于搭配和含义的不同，用介词to 或for 都是可能的。如：do sb a favour＝do a favour for sb 帮某人的忙 do sb harm＝do harm to sb 对某人有害
“的、地、得”的用法教案 教学目标： 1.能通过看视频知道“的、地、得”的用法区别。 2.能在小组合作中正确掌握“的、地、得”的用法。 3.能正确熟练地运用“的、地、得”。 教学重点：通过看视频知道“的、地、得”的用法区别。 教学难点：正确熟练地运用“的、地、得”。 教学过程： 一、导入（板书课题：“的、地、得”的用法“的、地、得”） 这三个字认识吧！虽然它们都有一个相同的读音de，但用法却不一样，可不能把他们用错了。究竟他们的用法有什么不同，我们来听听他们的故事吧！ 二、看微视频，学习“的、地、得”的用法区别。 三、小结： 1.孩子们，刚才看了视频知道他们是谁吗？（白勺的，土也地，双人得。） （1）白勺的是个杂货铺老板，她的店里都有什么？（彩色的毛巾美味的汉堡结实的帐篷舒适的儿童车捕捉风的网会唱歌的小树开个没完的花朵优美动听的歌曲飘来飘去的云……）还可能有什么？ 你们一定会发现，白勺的的用法有什么特点？（后面是名词。）板书：名词 （2）土也地是个运动男孩，他喜欢？（悠闲地散步欢快地跳舞兴奋地跳跃开心地捕蝴蝶看图书踢球骑自行洗澡吃冰淇淋……）他还可能喜欢干什么呢？你发现了吗？土也地的用法特点？（后面是动词。）板书：动词 （3）双人得呢？她是个总喜欢评价别人的小妹妹。（球踢得真棒舞跳得精彩长得好高呀……） 她可能还怎么评价别人？（歌唱得动听饭吃得很饱人长得漂亮）你们会发现，双人得的前面通常都是——动词。板书：动词 2.小结：所以，他们的用法也很简单，区别就在这里。 （白勺的用在名词前面；土也地用在动词前面；双人得用在动词后面。）你明白了吗？ 四、我来考考你们，看哪一组完成得又对又快！ 1.菜鸟级练习 2.老鸟级练习 3.大虾级练习 五、总结
for的用法： 1. 表示“当作、作为”。如: I like some bread and milk for breakfast. 我喜欢把面包和牛奶作为早餐。 What will we have for supper? 我们晚餐吃什么? 2. 表示理由或原因,意为“因为、由于”。如: Thank you for helping me with my English. 谢谢你帮我学习英语。 Thank you for your last letter. 谢谢你上次的来信。 Thank you for teaching us so well. 感谢你如此尽心地教我们。 3. 表示动作的对象或接受者,意为“给……”、“对…… (而言)”。如: Let me pick it up for you. 让我为你捡起来。 Watching TV too much is bad for your health. 看电视太多有害于你的健康。 4. 表示时间、距离,意为“计、达”。如:
I usually do the running for an hour in the morning. 我早晨通常跑步一小时。 We will stay there for two days. 我们将在那里逗留两天。 5. 表示去向、目的,意为“向、往、取、买”等。如: Let’s go for a walk. 我们出去散步吧。 I came here for my schoolbag.我来这儿取书包。 I paid twenty yuan for the dictionary. 我花了20元买这本词典。 6. 表示所属关系或用途,意为“为、适于……的”。如: It’s time for school. 到上学的时间了。 Here is a letter for you. 这儿有你的一封信。 7. 表示“支持、赞成”。如: Are you for this plan or against it? 你是支持还是反对这个计划? 8. 用于一些固定搭配中。如:
1.表示各种“目的”，用for （1）What do you study English for 你为什么要学英语？ （2）went to france for holiday. 她到法国度假去了。 （3）These books are written for pupils. 这些书是为学生些的。 （4）hope for the best, prepare for the worst. 作最好的打算，作最坏的准备。 2．“对于”用for （1）She has a liking for painting. 她爱好绘画。 （2）She had a natural gift for teaching. 她对教学有天赋/ 3．表示“赞成、同情”，用for （1）Are you for the idea or against it 你是支持还是反对这个想法？ （2）He expresses sympathy for the common people.. 他表现了对普通老百姓的同情。 （3）I felt deeply sorry for my friend who was very ill. 4. 表示“因为，由于”（常有较活译法），用for （1）Thank you for coming. 谢谢你来。
（2）France is famous for its wines. 法国因酒而出名。 5．当事人对某事的主观看法，“对于（某人），对…来说”，（多和形容词连用），用介词to，不用for. （1）He said that money was not important to him. 他说钱对他并不重要。 （2）To her it was rather unusual. 对她来说这是相当不寻常的。 （3）They are cruel to animals. 他们对动物很残忍。 6．和fit, good, bad, useful, suitable 等形容词连用，表示“适宜，适合”，用for。（1）Some training will make them fit for the job. 经过一段训练，他们会胜任这项工作的。 （2）Exercises are good for health. 锻炼有益于健康。 （3）Smoking and drinking are bad for health. 抽烟喝酒对健康有害。 （4）You are not suited for the kind of work you are doing. 7. 表示不定式逻辑上的主语，可以用在主语、表语、状语、定语中。 （1）It would be best for you to write to him. （2） The simple thing is for him to resign at once.
常用介词用法(for-to-with-of)
For的用法 1. 表示“当作、作为”。如: I like some bread and milk for breakfast. 我喜欢把面包和牛奶作为早餐。 What will we have for supper? 我们晚餐吃什么? 2. 表示理由或原因,意为“因为、由于”。如: Thank you for helping me with my English. 谢谢你帮我学习英语。 3. 表示动作的对象或接受者,意为“给……”、“对…… (而言)”。如: Let me pick it up for you. 让我为你捡起来。Watching TV too much is bad for your health. 看电视太多有害于你的健康。 4. 表示时间、距离,意为“计、达”。如: I usually do the running for an hour in the morning. 我早晨通常跑步一小时。 We will stay there for two days. 我们将在那里逗留两天。
5. 表示去向、目的,意为“向、往、取、买”等。如: Let’s go for a walk. 我们出去散步吧。 I came here for my schoolbag.我来这儿取书包。 I paid twenty yuan for the dictionary. 我花了20元买这本词典。 6. 表示所属关系或用途,意为“为、适于……的”。如: It’s time for school. 到上学的时间了。 Here is a letter for you. 这儿有你的一封信。 7. 表示“支持、赞成”。如: Are you for this plan or against it? 你是支持还是反对这个计划? 8. 用于一些固定搭配中。如: Who are you waiting for? 你在等谁? For example, Mr Green is a kind teacher. 比如,格林先生是一位心地善良的老师。
加入收藏夹 主题： 介词试题It’s + 形容词 + of sb. to do sth.和It’s + 形容词 + for sb. to do sth.的用法区别。 内容： It's very nice___pictures for me. A.of you to draw B.for you to draw C.for you drawing C.of you drawing 提交人：杨天若时间：1/23/2008 20:5:54 主题：for 与of 的辨别 内容：It's very nice___pictures for me. A.of you to draw B.for you to draw C.for you drawing C.of you drawing 答：选A 解析：该题考查的句型It’s + 形容词+ of sb. to do sth.和It’s +形容词+ for sb. to do sth.的用法区别。 “It’s + 形容词+ to do sth.”中常用of或for引出不定式的行为者，究竟用of sb.还是用for sb.，取决于前面的形容词。 1) 若形容词是描述不定式行为者的性格、品质的，如kind，good，nice，right，wrong，clever，careless，polite，foolish等，用of sb. 例： It’s very kind of you to help me. 你能帮我，真好。 It’s clever of you to work out the maths problem. 你真聪明，解出了这道数学题。 2) 若形容词仅仅是描述事物，不是对不定式行为者的品格进行评价，用for sb.，这类形容词有difficult，easy，hard，important，dangerous，（im）possible等。例： It’s very dangerous for children to cross the busy street. 对孩子们来说，穿过繁忙的街道很危险。 It’s difficult for u s to finish the work. 对我们来说，完成这项工作很困难。 for 与of 的辨别方法： 用介词后面的代词作主语，用介词前边的形容词作表语，造个句子。如果道理上通顺用of，不通则用for. 如： You are nice.(通顺，所以应用of)。 He is hard.(人是困难的，不通，因此应用for.) 由此可知，该题的正确答案应该为A项。 提交人：f7_liyf 时间：1/24/2008 11:18:42
的、得、地的用法：动词前提土旁、动词后双人旁、一动不动白字旁 （一） 的地得，不一样，用法分别记心上， 左边白，右边勺，名词跟在后面跑。 美丽的花儿绽笑脸，青青的草儿弯下腰， 清清的河水向东流，蓝蓝的天上白云飘， 暖暖的风儿轻轻吹，绿绿的树叶把头摇， 小小的鱼儿水中游，红红的太阳当空照， 左边土，右边也，地字站在动词前， 认真地做操不马虎，专心地上课不大意， 大声地朗读不害羞，从容地走路不着急， 痛快地玩耍来放松，用心地思考解难题， 勤奋地学习要积极，辛勤地劳动花力气， 左边两人就使得，形容词前要用得， 兔子兔子跑得快，乌龟乌龟爬得慢， 青青竹子长得快，参天大树长得慢， 清晨锻炼起得早，加班加点睡得晚， 欢乐时光过得快，考试题目出得难。 （二）“的、地、得”快板 的地得、的地得，用作助词都读de. 作文写话用不准，朗读往往会念错。 有趣的活动、绿的树，活动是事，树是物。 事物前面用的字，小朋友们都记着。 认真地想、快快地跑，想跑看摸是动作。 动作前面用地字，位置千万不要挪。 看得清，记得准，唱得好，飞得高。 动作后面用得字，补充说明要记牢。 （三）“的、地、得”用法简要口诀 名词前面“白勺”“的”， 动词前面“土也”“地”， 形容动后“双人”“得”， 当作助词都读“de”。 二、“的、地、得”用法小析 “的”后面跟的都是表示事物名称的词或词语，如：敬爱的总理、慈祥的老人、戴帽子的男孩、珍贵的教科书、鸟的天堂、伟大的祖国、有趣的情节、优雅的环境、可疑的情况、团结友爱的集体、他的妈妈、可爱的花儿、谁的橡皮、清清的河水...... “地”后面跟的都是表示动作的词或词语，如：高声地喊、愉快地唱、拼命地逃、疯狂地咒骂、严密地注视、一次又一次地握手、迅速地包围、沙沙地直响、斩钉截铁地说、从容不迫地申述、用力地踢、仔细地看、开心地笑笑......” “得”前面跟的多数是表示动作的词或词语，后面跟的都是形容事物状态的词或词语，表示怎么怎么样的，如：走得很快、踩得稀烂、疼得直叫唤、瘦得皮包骨头、红得发紫、气得双脚直跳、理解得十分深刻、乐得合不拢嘴、惊讶得目瞪口呆、大得很、扫得真干净、笑得多甜啊...... 三、“的、地、得”的用法补充说明：
to和for的用法有什么不同（一） 一、引出间接宾语时的区别 两者都可以引出间接宾语，但要根据不同的动词分别选用介词to 或for，具体应注意以下三种情况： 1. 在give, pass, hand, lend, send, tell, bring, show, pay, read, return, write, offer, teach, throw 等之后接介词to。如： 请把那本字典递给我。 正：Please hand me that dictionary. 正：Please hand that dictionary to me. 她去年教我们的音乐。 正：She taught us music last year. 正：She taught music to us last year. 2. 在buy, make, get, order, cook, sing, fetch, play, find, paint, choose, prepare, spare 等之后用介词for 。如： 他为我们唱了首英语歌。 正：He sang us an English song. 正：He sang an English song for us. 请帮我把钥匙找到。 正：Please find me the keys. 正：Please find the keys for me. 能耽搁你几分钟吗(即你能为我抽出几分钟吗)? 正：Can you spare me a few minutes?
正：Can you spare a few minutes for me? 3. 有的动词由于用法和含义不同，用介词to 或for 都是可能的。如： do sb a favor＝do a favor for sb 帮某人的忙 do sb harm＝do harm to sb 对某人有害 在有的情况下，可能既不用for 也不用to，而用其他的介词。如： play sb a trick＝play a trick on sb 作弄某人 请比较： play sb some folk songs＝play some folk songs for sb 给某人演奏民歌 有时同一个动词，由于用法不同，所搭配的介词也可能不同，如leave sbsth 这一结构，若表示一般意义的为某人留下某物，则用介词for 引出间接宾语，即说leave sth for sb；若表示某人死后遗留下某物，则用介词to 引出间接宾语，即说leave sth to sb。如： Would you like to leave him a message? / Would you like to leave a message for him? 你要不要给他留个话？ Her father left her a large fortune. / Her father left a large fortune to her. 她父亲死后给她留下了一大笔财产。 二、表示目标或方向的区别 两者均可表示目标、目的地、方向等，此时也要根据不同动词分别对待。如： 1. 在come, go, walk, move, fly, ride, drive, march, return 等动词之后通常用介词to 表示目标或目的地。如： He has gone to Shanghai. 他到上海去了。 They walked to a river. 他们走到一条河边。
“的、地、得”的用法和区别（一） “的、地、得”的用法和区别（一） “的”、“地”、“得”的用法区别本是中小学语文教学中最基本的常识，但在使用中也最容易发生混淆，再加上一段时间里，中学课本中曾将这三个词的用法统一为“的”，因此造成了很多人对它们的用法含混不清进而乱用一通的现象。 结合实例，谈谈“的、地、得”的用法。 一、“的、地、得”的基本概念 1、“的、地、得”的相同之处。 “的、地、得”是现代汉语中高频度使用的三个结构助词，都起着连接作用；它们在普通话中都读轻声“de”，没有语音上的区别。 2、“的、地、得”的不同之处。 吕叔湘、朱德熙所著《语法修辞讲话》认为“的”兼职过多，负担过重，而力主“的、地、得”严格分工。50 年代以来的诸多现代汉语论著和教材，一般也持这一主张。从书面语中的使用情况看，“的”与“地”、“得”的分工日趋明确，特别是在逻辑性很强的论述性、说明性语言中，如法律条款、学术论著、外文译著、教科书等，更是将“的”与“地”、“得”分用 “的、地、得”在普通话里都读轻声“de”，但在书面语中有必要写成三个不同的字：在定语后面写作“的”，在状语后面写作“地”，在补语前写作“得”。这样做的好处，就是可使书面语言精确化。 二、“的、地、得”的用法 1、的——定语的标记，一般用在主语和宾语的前面。“的”前面的词语一般用来修饰、限制“的”后面的事物，说明“的”后面的事物怎么样。结构形式一般为：形容词、名词（代词）+的+名词。如： ①颐和园(名词)的湖光山色（主语）美不胜收。 ②她是一位性格开朗的女子(名词，宾语)。
2、地——状语的标记，一般用在谓语（动词、形容词）前面。“地”前面的词语一般用来形容“地”后面的动作，说明“地”后面的动作怎么样。结构方式一般为：形容词（副词）+地+动词（形容词）。如： ③她愉快(形容词)地接受(动词，谓语)了这件礼物。 ④天渐渐(时间副词)地冷(形容词，谓语)起来。 3、得——补语的标记，一般用在谓语后面。“得”后面的词语一般用来补充说明“得”前面的动作怎么样，结构形式一般为：动词（形容词）+得+副词。如： ⑤他们玩(动词，谓语)得真痛快(补语)。 ⑥她红(形容词，谓语)得发紫(补语)。 三、“的、地、得”用法的常见错误 一般而言，在特约记者和通讯员来稿中常见的“的、地、得”用法错误，主要表现在该用“地”、“得”的地方全部用了“的”。如： ① 这两年，该公司的职工不断的（地）转变观念。 我们说“地”是状语的标记，用在谓语的前面。此例中主语是“职工”，谓语是“转变”。很显然，用“的”是错误的，应该用“地”。 ②该项目不仅创下了该公司单项工程总产值之最，更为重要的是成功的（地）闯进了上海的国际石油化工项目建设市场，踏上了一个更高的平台。 这个例句虽然比较长，但谓语“闯”前的“的”明显用错了，应该改为“地”。 ③各项安全工作做得很到位，安全防范措施都落实的（得）很好。 补语一般回答“怎么样”的问题，前面一句回答“做”得怎么样，用了“得”，很对；可接下来回答“落实”得怎么样问题时，作者却用了“的”。这个错误非常明显，可惜作者没有发现，正确的用法应该是“得”。 ④身体更不敢碰到被太阳炙烤的(得)滚烫的铁车梯。 如果我们问“炙烤”得怎么样，就知道例句里用错了，应该用“得”。
keep的用法 1. 用作及物动词 ①意为"保存；保留；保持；保守"。如： Could you keep these letters for me, please? 你能替我保存这些信吗？ ②意为"遵守；维护"。如： Everyone must keep the rules. 人人必须遵守规章制度。 The teacher is keeping order in class.老师正在课堂上维持秩序。 ③意为"使……保持某种(状态、位置或动作等)"。这时要在keep的宾语后接补足语，构 成复合宾语。其中宾语补足语通常由形容词、副词、介词短语、现在分词和过去分词等充当。如： 例：We should keep our classroom clean and tidy.(形容词) 我们应保持教室整洁干净。 You'd better keep the child away from the fire.(副词)你最好让孩子离火远一点。 The bad weather keeps us inside the house.(介词短语)坏天气使我们不能出门。 Don't keep me waiting for long.(现在分词)别让我等太久。 The other students in the class keep their eyes closed.(过去分词) 班上其他同学都闭着眼睛。 2. 用作连系动词 构成系表结构：keep＋表语，意为"保持，继续(处于某种状态)"。其中表语可用形容词、副词、介词短语等充当。如： 例：You must look after yourself and keep healthy.(形容词) 你必须照顾好自己，保持身体健康。 Keep off the grass.(副词)请勿践踏草地。 Traffic in Britain keeps to the left.(介词短语)英国的交通是靠左边行驶的。 注意：一般情况下，keep后接形容词较为多见。再如： She knew she must keep calm.她知道她必须保持镇静。 Please keep silent in class.课堂上请保持安静。 3. ①keep doing sth. 意为"继续干某事"，表示不间断地持续干某事，keep后不 能接不定式或表示静止状态的v-ing形式，而必须接延续性的动词。 例：He kept working all day, because he wanted to finish the work on time. 他整天都在不停地工作，因为他想准时完成工作。 Keep passing the ball to each other, and you'll be OK.坚持互相传球，你们就