翻译论文

附录A3 Image Enhancement in the Spatial DomainThe principal objective of enhancement is to process an image so that the result is more suitable than the original image for a specific application. The word specific is important, because it establishes at the outset than the techniques discussed in this chapter are very much problem oriented. Thus, for example, a method that is quite useful for enhancing X-ray images may not necessarily be the best approach for enhancing pictures of Mars transmitted by a space probe. Regardless of the method used .However, image enhancement is one of the most interesting and visually appealing areas of image processing.Image enhancement approaches fall into two broad categories: spatial domain methods and frequency domain methods. The term spatial domain refers to the image plane itself, and approaches in this category are based on direct manipulation of pixels in an image. Fourier transform of an image. Spatial methods are covered in this chapter, and frequency domain enhancement is discussed in Chapter 4.Enhancement techniques based on various combinations of methods from these two categories are not unusual. We note also that many of the fundamental techniques introduced in this chapter in the context of enhancement are used in subsequent chapters for a variety of other image processing applications.There is no general theory of image enhancement. When an image is processed for visual interpretation, the viewer is the ultimate judge of how well a particular method works. Visual evaluation of image quality is a highly is highly subjective process, thus making the definition of a “good image” an elusive standard by which to compare algorithm performance. When the problem is one of processing images for machine perception, the evaluation task is somewhat easier. For example, in dealing with a character recognition application, and leaving aside other issues such as computational requirements, the best image processing method would be the one yielding the best machine recognition results. However, even in situations when aclear-cut criterion of performance can be imposed on the problem, a certain amount of trial and error usually is required before a particular image enhancement approach is selected.3.1 BackgroundAs indicated previously, the term spatial domain refers to the aggregate of pixels composing an image. Spatial domain methods are procedures that operate directly on these pixels. Spatial domain processes will be denotes by the expression()[]=(3.1-1)g x y T f x y,(,)where f(x, y) is the input image, g(x, y) is the processed image, and T is an operator on f, defined over some neighborhood of (x, y). In addition, T can operate on a set of input images, such as performing the pixel-by-pixel sum of K images for noise reduction, as discussed in Section 3.4.2.The principal approach in defining a neighborhood about a point (x, y) is to use a square or rectangular subimage area centered at (x, y).The center of the subimage is moved from pixel to starting, say, at the top left corner. The operator T is applied at each location (x, y) to yield the output, g, at that location. The process utilizes only the pixels in the area of the image spanned by the neighborhood. Although other neighborhood shapes, such as approximations to a circle, sometimes are used, square and rectangular arrays are by far the most predominant because of their ease of implementation.The simplest from of T is when the neighborhood is of size 1×1 (that is, a single pixel). In this case, g depends only on the value of f at (x, y), and T becomes a gray-level (also called an intensity or mapping) transformation function of the form=(3.1-2)s T r()where, for simplicity in notation, r and s are variables denoting, respectively, the grey level of f(x, y) and g(x, y)at any point (x, y).Some fairly simple, yet powerful, processing approaches can be formulates with gray-level transformations. Because enhancement at any point in an image depends only on the grey level at that point, techniques in this category often are referred to as point processing.Larger neighborhoods allow considerably more flexibility. The general approach is to use a function of the values of f in a predefined neighborhood of (x, y) to determine the value of g at (x, y). One of the principal approaches in this formulation is based on the use of so-called masks (also referred to as filters, kernels, templates, or windows). Basically, a mask is a small (say, 3×3) 2-Darray, in which the values of the mask coefficients determine the nature of the type of approach often are referred to as mask processing or filtering. These concepts are discussed in Section 3.5.3.2 Some Basic Gray Level TransformationsWe begin the study of image enhancement techniques by discussing gray-level transformation functions. These are among the simplest of all image enhancement techniques. The values of pixels, before and after processing, will be denoted by r and s, respectively. As indicated in the previous section, these values are related by an expression of the from s = T(r), where T is a transformation that maps a pixel value r into a pixel value s. Since we are dealing with digital quantities, values of the transformation function typically are stored in a one-dimensional array and the mappings from r to s are implemented via table lookups. For an 8-bit environment, a lookup table containing the values of T will have 256 entries.As an introduction to gray-level transformations, which shows three basic types of functions used frequently for image enhancement: linear (negative and identity transformations), logarithmic (log and inverse-log transformations), and power-law (nth power and nth root transformations). The identity function is the trivial case in which out put intensities are identical to input intensities. It is included in the graph only for completeness.3.2.1 Image NegativesThe negative of an image with gray levels in the range [0, L-1]is obtained by using the negative transformation show shown, which is given by the expression=--(3.2-1)s L r1Reversing the intensity levels of an image in this manner produces the equivalent of a photographic negative. This type of processing is particularly suited for enhancing white or grey detail embedded in dark regions of an image, especiallywhen the black areas are dominant in size.3.2.2 Log TransformationsThe general from of the log transformation is=+(3.2-2)log(1)s c rWhere c is a constant, and it is assumed that r ≥0 .The shape of the log curve transformation maps a narrow range of low gray-level values in the input image into a wider range of output levels. The opposite is true of higher values of input levels. We would use a transformation of this type to expand the values of dark pixels in an image while compressing the higher-level values. The opposite is true of the inverse log transformation.Any curve having the general shape of the log functions would accomplish this spreading/compressing of gray levels in an image. In fact, the power-law transformations discussed in the next section are much more versatile for this purpose than the log transformation. However, the log function has the important characteristic that it compresses the dynamic range of image characteristics of spectra. It is not unusual to encounter spectrum values that range from 0 to 106 or higher. While processing numbers such as these presents no problems for a computer, image display systems generally will not be able to reproduce faithfully such a wide range of intensity values .The net effect is that a significant degree of detail will be lost in the display of a typical Fourier spectrum.3.2.3 Power-Law TransformationsPower-Law transformations have the basic froms crϒ=(3.2-3) Where c and y are positive constants .Sometimes Eq. (3.2-3) is written as to account for an offset (that is, a measurable output when the input is zero). However, offsets typically are an issue of display calibration and as a result they are normally ignored in Eq. (3.2-3). Plots of s versus r for various values of y are shown in Fig.3.6. As in the case of the log transformation, power-law curves with fractional values of y map a narrow range of dark input values into a wider range of output values, with theopposite being true for higher values of input levels. Unlike the log function, however, we notice here a family of possible transformation curves obtained simply by varying y. As expected, we see in Fig.3.6 that curves generated with values of y＞1 have exactly the opposite effect as those generated with values of y＜1. Finally, we note that Eq.(3.2-3) reduces to the identity transformation when c = y = 1.A variety of devices used for image capture, printing, and display respond according to as gamma[hence our use of this symbol in Eq.(3.2-3)].The process used to correct this power-law response phenomena is called gamma correction.Gamma correction is important if displaying an image accurately on a computer screen is of concern. Images that are not corrected properly can look either bleached out, or, what is more likely, too dark. Trying to reproduce colors accurately also requires some knowledge of gamma correction because varying the value of gamma correcting changes not only the brightness, but also the ratios of red to green to blue. Gamma correction has become increasingly important in the past few years, as use of digital images for commercial purposes over the Internet has increased. It is not Internet has increased. It is not unusual that images created for a popular Web site will be viewed by millions of people, the majority of whom will have different monitors and/or monitor settings. Some computer systems even have partial gamma correction built in. Also, current image standards do not contain the value of gamma with which an image was created, thus complicating the issue further. Given these constraints, a reasonable approach when storing images in a Web site is to preprocess the images with a gamma that represents in a Web site is to preprocess the images with a gamma that represents an “average” of the types of monitors and computer systems that one expects in the open market at any given point in time.3.2.4 Piecewise-Linear Transformation FunctionsA complementary approach to the methods discussed in the previous three sections is to use piecewise linear functions. The principal advantage of piecewise linear functions over the types of functions we have discussed thus far is that the form of piecewise functions can be arbitrarily complex. In fact, as we will see shortly, a practical implementation of some important transformations can be formulated onlyas piecewise functions. The principal disadvantage of piecewise functions is that their specification requires considerably more user input.Contrast stretchingOne of the simplest piecewise linear functions is a contrast-stretching transformation. Low-contrast images can result from poor illumination, lack of dynamic range in the imaging sensor, or even wrong setting of a lens aperture during image acquisition. The idea behind contrast stretching is to increase the dynamic range of the gray levels in the image being processed.Gray-level slicingHighlighting a specific range of gray levels in an image often is desired. Applications include enhancing features such as masses of water in satellite imagery and enhancing flaws in X-ray images. There are several ways of doing level slicing, but most of them are variations of two basic themes. One approach is to display a high value for all gray levels in the range of interest and a low value for all other gray levels.Bit-plane slicingInstead of highlighting gray-level ranges, highlighting the contribution made to total image appearance by specific bits might be desired. Suppose that each pixel in an image is represented by 8 bits. Imagine that the image is composed of eight 1-bit planes, ranging from bit-plane 0 for the least significant bit to bit-plane 7 for the most significant bit. In terms of 8-bit bytes, plane 0 contains all the lowest order bits in the bytes comprising the pixels in the image and plane 7 contains all the high-order bits.3.3 Histogram ProcessingThe histogram of a digital image with gray levels in the range [0, L-1] is a discrete function , where is the kth gray level and is the number of pixels in the image having gray level . It is common practice to pixels in the image, denoted by n. Thus, a normalized histogram is given by , for , Loosely speaking, gives an estimate of the probability of occurrence of gray level . Note that the sum of all components of a normalized histogram is equal to 1.Histograms are the basis for numerous spatial domain processing techniques.Histogram manipulation can be used effectively for image enhancement, as shown in this section. In addition to providing useful image statistics, we shall see in subsequent chapters that the information inherent in histograms also is quite useful in other image processing applications, such as image compression and segmentation. Histograms are simple to calculate in software and also lend themselves to economic hardware implementations, thus making them a popular tool for real-time image processing.附录B第三章空间域图像增强增强的首要目标是处理图像，使其比原始图像格式和特定应用。

南京航空航天大学金城学院毕业设计（论文）外文文献翻译系部经济系专业国际经济与贸易学生姓名陈雅琼学号2011051115指导教师邓晶职称副教授2015年5月Economic policy,tourism trade and productive diversification（Excerpt）Iza Lejárraga,Peter WalkenhorstThe broad lesson that can be inferred from the analysis is that promoting tourism linkages with the productive capabilities of a host country is a multi-faceted approach influenced by a variety of country conditions.Among these,fixed or semi-fixed factors of production,such as land,labor,or capital,seem to have a relatively minor influence.Within the domain of natural endowments,only agricultural capital emerged as significant.This is a result that corresponds to expectations,given that foods and beverages are the primary source of demand in the tourism economy.Hence,investments in agricultural technology may foment linkages with the tourism market.It is also worth mentioning that for significant backward linkages to emerge with local agriculture,a larger scale of tourism may be important. According to the regression results,a strong tourism–agriculture nexus will not necessarily develop at a small scale of tourism demand.It appears that variables related to the entrepreneurial capital of the host economy are of notable explanatory significance.The human development index(HDI), which is used to measure a country's general level of development,is significantly and positively associated with tourism linkages.One plausible explanation for this is that international tourists,who often originate in high-income countries,may feel more comfortable and thus be inclined to consume more in a host country that has a life-style to which they can relate easily.Moreover,it is important to remember that the HDI also captures the relative achievements of countries in the level of health and education of the population.Therefore,a higher HDI reflects a healthier and more educated workforce,and thus,the quality of local entrepreneurship.Related to this point,it is important to underscore that the level of participation of women in the host economy also has a significantly positive effect on linkages.In sum, enhancing local entrepreneurial capital may expand the linkages between tourism and other sectors of the host country.Formal institutions and their regulatory control of the market,proxied by the size of the government and price controls,were not found to have significant effects on linkages formation.Despite the importance of democratic governance,this was not identified as a key determinant either.On the other hand,the significance of informal institutions accords with the clustering dynamics inherent in tourism,in which linkages are formed on the basis of self-enforcing“relations-based”governance.Also,informal structures cost less than formal,rules-driven institutional frameworks for entrepreneurship.Therefore,highly formalized regulations can deter the spontaneous and cost-driven coordination among potential local suppliers and the potential buyers of the tourism economy.One type of formal institutions that does matter is policing and vigilance.As would be expected,the results show that countries with higher incidence of violence or crime are significantly associated with lower levels of tourism linkages.Indeed, the coordination of providers in tourism clusters depends fundamentally on trust among local entrepreneurs and trust can hardly flourish in an environment characterized by social conflict.Equally important,the perception of violence on the part of tourists and hotels will dissuade tourists from venturing beyond the safe boundaries of the“enclave”hotel resort.Finally,hotel managers and other foreign investors in the tourism economy will be less inclined to maintain productive relations with the host economy in the absence of predictability and stability. Therefore,investments in institutions that maintain safety and a perception of safety,in the host economy appear critical for spawning coordination.While all country domains may be playing a role in fostering or hindering linkages, the business environment seems to exert an overriding influence on linkages.After controlling for a country's natural endowments,level of development,and institutional maturity,the business environment on its own explains almost20%of cross-country variations in linkages.In particular,the level of corporate taxes in the host economy is associated with the most significant adverse effect on the formation of linkages,in conformity with the lower-cost motivation underlying tourism-led linkage creation.Also,a widespread usage of internet is alsosignificantly associated with a positive effect in the ability of suppliers to orchestrate coordination in tourism linkages.Moreover,the results suggest that there could be a role for government in improving trade facilitation and reducing transportation costs.Also,maintaining an open trade regime seems to be critical for the emergence of linkages.This underscores the importance of not protecting inefficient economic activities and opening potential products for tourism demand to competition.Although trade barriers may indeed serve to prod investors in the tourism economy to procure domestic goods, they will also hinder the competitiveness of local producers.Shielded from imports, local producers will not have the incentives to meet the international quality standards of the products needed by the tourism economy.Yet,quality expectations, possibly more so than costs,will likely inform the procurement decisions of the tourism economy.Concerning the relative magnitude of the effects of the different domains on linkages,the business environment and trade regulations stand out.The independent contributions of these domains,that is their ability to explain variations in the dependent variable when no controls for other domains are applied,amount to53%and 43%,respectively.The level-of-development domain follows with25%explanatory power,while the domains covering institutions and endowments provide an independent contribution of23%each.The implications of the analysis should be considered in light of its limitations. Causal direction cannot be fully substantiated,because we use a cross-sectional approach due to data limitations.In the absence of time-series for the variables at hand,it is not possible to test for causation.While the explanatory variables concerning natural endowments are exogenous,some of the other explanatory variables could potentially be subject to reverse causality.That said,there do not seem to be a priori strong conceptual reasons that would lead us to believe that the degree of tourism linkages critically affects trade policy,the quality of institutions, and other variables of our model.Moreover,the risk of encountering problems of reverse causality is mitigated by the observation that several longitudinal studies have established a causal relationship that runs from higher levels of economic development Eugenio-Martin et al.(2008)or a better business environment(Barrowclough,2007and Selvanathan et al.,2009)to the development of the tourism sector,rather than the other way around.Finally,the construction of the dependent variable as a ratio of indirect to direct tourism expenditure makes the reverse causality hypothesis less compelling. While it might be expected that an expansion of the tourism sector that increases total revenues and employment opportunities might have an impact on the explanatory variables,it is less evident that a change in the composition of tourism revenues, as implied by a change in the LINK variable,would have such an effect.That said, the confidence in our findings would clearly be further enhanced,if supported by results from future studies based on longitudinal designs.The scientific environmental ethics plays a key role in the recognition of the human—environment interactions．Modern environmental ethics is the philosophical rethinking of modern human race environmental behavior．The development of environmental ethics theory as well as its application in reality．determines the viewpoints of environmental ethics．Sustainable development implies harmony on human-environment interactions and intergeneration responsibility，with emphasis on a harmonious relationship among population，resources，environment and development，so as to lay a sustainable and healthy foundation of resources and environment for future generations．The harmonious society construction in China that is raised by the Chinese central government should be covered by environmental ethics．The connotation of open environmental ethics includes a respect for nature．care for the individual human race．and respect for the development of future generations，which means giving consideration to natural values．individual and human race benefits and welfare across generations．The role of environmental ethics in regional development consists of cognition，criticism，education，inspiration，adjusting，legislation and promoting environmental regulations．The major problems in regional development are extensive resource exploration，fast population growth irrational,industrialstructure.Unfair welfare distribution and the twofold effects of science and technology development．The formulation of environmental ethics that aims at regional sustainable development，can not only harmonize the relationship of population，resource，environment and economic development，but also guide behavior selection，push social and political system transformation.strengthen the legal system，and raise environmental awareness of the public．Human races face severe global challenges in resources，environment，population and poverty．To solve these problems science and technology should be developed on one hand，and human-environment interactions should be adjusted on the other hand．Modem environmental ethics is the philosophical review on modem human race environmental behavior．Environmental ethics can be a view point as the moral perception of the relationship between humankind and nature in general．The keystone of sustainable development is on harmonious human．environment interactions．with an emphasis on sustainable environmental ethics．Environmental ethics and sustainable development are key issues in the study of man．1and system，as well as a precondition to regional development(Zheng，2005a)．Though there exists theoretical divergence in different environmental ideologies．some general understandings can also be obtained：human races are the only ethical agents on earth；the essence of the environmental crisis is a cultural and value crisis；future generations have the same right as current generations，especially on survival space；differences should be made between human race and other entities on earth，at the same time they are an undivided union；the capability of the earth is limited．Based on the above general understandings．it is possible to form a more open and sustainable environmental ethics．A more open and sustainable environmental ethics has some special connections．To respect and treat nature friendly means to acknowledge the value and right of nature，that is to say,minimum hurt criterion，basic benefit criterion and fair compensation criterion should be followed．To pay attention to both individuals and mankind should follow justice criterion，equity criterion and cooperation criterion．To have futuregeneration in mind Should follow responsibility criterion，saving criterion，and cautiousness criterion(Wang，2003；Wang，2004a)．The conclusion to be drawn from the above is to give attention to both human race and natural value．to both individual and mankind’s benefit。

译文交通拥堵和城市交通系统的可持续发展摘要:城市化和机动化的快速增长,通常有助于城市交通系统的发展，是经济性，环境性和社会可持续性的体现,但其结果是交通量无情增加，导致交通拥挤。

道路拥挤定价已经提出了很多次，作为一个经济措施缓解城市交通拥挤，但还没有见过在实践中广泛使用，因为道路收费的一些潜在的影响仍然不明。

本文首先回顾可持续运输系统的概念,它应该满足集体经济发展,环境保护和社会正义的目标.然后,根据可持续交通系统的特点，使拥挤收费能够促进经济增长，环境保护和社会正义。

研究结果表明,交通拥堵收费是一个切实有效的方式，可以促进城市交通系统的可持续发展。

一、介绍城市交通是一个在世界各地的大城市迫切关注的话题。

随着中国的城市化和机动化的快速发展,交通拥堵已成为一个越来越严重的问题,造成较大的时间延迟,增加能源消耗和空气污染，减少了道路网络的可靠性．在许多城市,交通挤塞情况被看作是经济发展的障碍.我们可以使用多种方法来解决交通挤塞,包括新的基础设施建设，改善基础设施的维护和操作,并利用现有的基础设施,通过需求管理策略,包括定价机制,更有效地减少运输密度.交通拥堵收费在很久以前就已提出，作为一种有效的措施,来缓解的交通挤塞情况。

交通拥堵收费的原则与目标是通过对选择在高峰拥挤时段的设施的使用实施附加收费,以纾缓拥堵情况．转移非高峰期一些出行路线,远离拥挤的设施或高占用车辆，或完全阻止一些出行,交通拥堵收费计划将在节省时间和降低经营成本的基础上,改善空气中的质量，减少能源消耗和改善过境生产力。

此计划在世界很多国家和地方都有成功的应用。

继在2０世纪70年代初和8０年代中期挪威与新加坡实行收费环,在20０３年2月伦敦金融城推出了面积收费；直至现在,它都是已经开始实施拥挤收费的大都市圈中一个最知名的例子。

然而,交通拥堵收费由于理论和政治的原因未能在实践中广泛使用。

道路收费的一些潜在的影响尚不清楚,和城市发展的拥塞定价可持续性,需要进一步研究。

论文英文摘要翻译浅析（优秀3篇）范文为教学中作为模范的文章，也常常用来指写作的模板。

常常用于文秘写作的参考，也可以作为演讲材料编写前的参考。

那么我们该如何写一篇较为完美的范文呢？下面是小编为大伙儿带来的3篇《论文英文摘要翻译浅析》，可以帮助到您，就是小编最大的乐趣哦。

摘要的英语说法篇一summary摘要的英语例句：篇二1、 First, we have this roundup of the days news.首先来看今天的新闻摘要。

2、 The material below is a distillation of his work.下面的材料是他工作的摘要。

3、 Viewers saw him anchoring a five-minute summary of regional news.观众看见他主持一个5分钟的地方新闻摘要节目。

4、The organization publishes a regular digest of environmental statistics.该组织定期出版一份环境统计数据摘要。

5、 Well be back after the break with a round-up oftodays other stories.休息之后我们会摘要报道今天其他的新闻。

6、 Later we received resumes of what she had said.后来我们收到她讲话的摘要。

7、Objective Inquiry into the heavy asphy_iation rescues measure of the new born.摘要目的探讨新生儿重度窒息抢救的措施。

8、 He has abstracted the speech.他对讲话作了摘要。

9、 He made an abstract of a long article.他对一篇长文章做了摘要。