英语科技论文写作1

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Digital Image Processing Technology Review Abstract: This paper introduces the concept of Digital Image Processing technology, application status and development trends, describes the main method of Digital Image Processing technology and the future direction of its development, an overview of the application areas of Digital Image Processing technology. Keywords:Digital Image Processing;Computer technology;Methods and prospects. Digital Image Processing is aimed to convert the image signal into a digital signal, and use computers to process it. The purpose of early Digital Image Processing is to improve the image visual effect. It has been widely used in many fields of scientific research, industrial and agricultural production, medical engineering, aerospace, military and cultural industries. 1 Digital Image Processing Technology Overview 1.1 The concept of Digital Image Processing technology In the Image Processing technology, lower processing involves primary techniques, such as noise reduction, sharpening and contrast processing. Intermediate processing involves dividing, reducing the definition of the target group of pixels, in order for the different pixels or pixel groups to identify and computer calculation processing. Advanced image processing algorithms which is the analysis of the overall that the results of the analysis is to identify the group of pixels, as well as visual computing and related analytical functions andother processing technology. In the application of mathematical theory, the image is defined as a two-dimensional function f(x,y),x and y are spatial coordinates in any set of spatialcoordinates f(x,y) of the magnitude f called image coordinate position in the intensity or gray.When the x, y and amplitude f are discrete, limited value, saying that the coordinate position is limited by the elements, each pixel has the specific location and magnitude. 2. Digital Image Processing technology 2.1 The characteristics of Digital Image Processing technology The information source of Digital Image Processing is basically two-dimensional data, a large amount of information processing and demanding computing speed, storage space . High transmission bandwidth requirements of digital image processing. Compared with the voice information, transmission frequency band occupied by thousands of times higher. So, the research on image compression technology has formed the effective demand. Each pixel in the digital image is not independent, each of them has higher relevant.A lot between adjacent pixels have the same or similar value.Therefore, possibility of processing image data compression is high. Because the image is the visual two-dimensional mapping of three-dimensional consciousness. Therefore, if the computer recognize and deal with the three-dimensional shape, it need to carry out the appropriate of blurring or match the additional amount. Processed digital image is formed on the basis of understanding and application of human visual evaluation, so the results will inevitably be affected by man-made ideology. Therefore, research in computer vision, artificial perception mechanism will inevitably have an impact on computer vision is right. 2.2 The basic method of digital image processing technology Since the image processing, the pixel array is large, the amount of calculation involved in the spatial domain of the computer hardware requirements are very high, it is necessary to introduce a function of converting the image to simplify the calculation. The indirect approach of function transformation, such as Fourier transform, discrete cosine transform, Walsh transform, not only can reduce computational intensity, and can be efficiently calculated. Pixel matrix encoded image compression techniques can reduce the number of bits define the image data and image processing and reduce transmission time, thus saving storage space. Image enhancement processing process does not involve the main causes of reduced image quality, the purpose is to highlight the image pixel matrix of sensitive groups. Image restoration processing needs of the major causes of image quality degradation of the investigation, and then take the appropriate filtering technology, rehabilitation and reconstruction of the original pixel matrix. Image segmentation is one of the key processing means for processing the digital image processing. The image is the main sensitive pixel group as the main processing objects, including regional feature, edge feature, is based on data characteristics sensitive pixel group to identify, understand and analyze. As the most simple binary image may be its geometrical characteristics of object recognition features, the general understanding of the method of two-dimensional shape of the image understanding, it has to understand the boundaries and regional understanding of two methods. For the three-dimensional object it is understood that there is understanding of volume, surface understanding, a broad understanding of the cylinder and the like. Image recognition processing basic pattern recognition using the traditional way, there are two kinds of statistical pattern recognition pattern recognition and structure, along with a wide range of research carried out artificial neural network pattern recognition and fuzzy pattern recognition has also been varying degrees of importance, extensive research. 3.Advantages of digital image processing technology Are differences between analog and digital image processing techniques of image processing technology in the basic principle is impossible in digital processing technology transfer, storage or processing operations such as copy image, the image quality is reduced. Image digitization process to accurately reproduce the original analog images, digital image processing it is possible to ensure that the digital indicators detract from the image. Based on the existing digital technology, in the performance of the image digitizing equipment to meet the requirements of the situation, you can digitize analog video to become a two-dimensional array of target accuracy. The current digital scanner capable of each pixel gray level quantization of 48 or higher, which indicates that the accuracy of the digitized images to meet the needs of almost any application. For digital processing devices, regardless of the size of two-digit group and does not consider pixel quantization bits, the process is basically the same. From the principle point of view, regardless of the image quantization precision to what extent, it is technically can be done, just an array of technical parameters in the process to modify the process. In the analog image quantization process, in order to enhance the accuracy of the quantization process, you need to use very high-grade hardware device or a large-scale technological upgrading parameters grade processing apparatus, from the viewpoint of technical and economic aspects, it is very unreasonable. Source images are diverse, under normal circumstances is visible photographic image may be invisible light spectrum graphic images. From the perspective of sensory object image map, microscopic electron microscope to capture images, macro-scale air and space telescopes to capture images. Different sources of information into a digital image of the coded, can be