1、数字图像处理中英文对照外文翻译文献 (文档含英文原文和中文翻译)中英文翻译原 文To image edge examination algorithm research Abstract ：Digital image processing took a relative quite young discipline, is following the computer technology rapid development, day by day obtains the widespread application.The edge took the image one kind of ba
2、sic characteristic, in the pattern recognition, the image division, the image intensification as well as the image compression and so on in the domain has a more widespread application.Image edge detection method many and varied, in which based on brightness algorithm, is studies the time to be most
3、 long, the theory develops the maturest method, it mainly is through some difference operator, calculates its gradient based on image brightness the change, thus examines the edge, mainly has Robert, Laplacian, Sobel, Canny, operators and so on LOG。First as a whole introduced digital image processin
4、g and the edge detection survey, has enumerated several kind of at present commonly used edge detection technology and the algorithm, and selects two kinds to use Visual the C language programming realization, through withdraws the image result to two algorithms the comparison, the research discusse
5、s their good and bad points.Foreword：In image processing, as a basic characteristic, the edge of theimage, which is widely used in the recognition, segmentation,intensification and compress of the image, is often applied tohigh-level domain.There are many kinds of ways to detect the edge. Anyway, th
6、ere aretwo main techniques: one is classic method based on the gray grade ofevery pixel; the other one is based on wavelet and its multi-scalecharacteristic. The first method, which is got the longest research,get the edge according to the variety of the pixel gray. The maintechniques are Robert, La
7、place, Sobel, Canny and LOG algorithm. The second method, which is based on wavelet transform, utilizes theLipschitz exponent characterization of the noise and singular signaland then achieve the goal of removing noise and distilling the realedge lines. In recent years, a new kind of detection metho
8、d, which basedon the phase information of the pixel, is developed. We need hypothesizenothing about images in advance. The edge is easy to find in frequencydomain. Its a reliable method. In chapter one, we give an overview of the image edge. And inchapter two, some classic detection algorithms are i
9、ntroduced. Thecause of positional error is analyzed, and then discussed a moreprecision method in edge orientation. In chapter three, wavelet theoryis introduced. The detection methods based on sampling wavelettransform, which can extract maim edge of the image effectively, andnon-sampling wavelet t
10、ransform, which can remain the optimum spatialinformation, are recommended respectively. In the last chapter of thisthesis, the algorithm based on phase information is introduced. Usingthe log Gabor wavelet, two-dimension filter is constructed, many kindsof edges are detected, including Mach Band, w
11、hich indicates it is aoutstanding and bio-simulation method。May all the work in this paper is of some value to research and applications of image edge detection.First chapter introduction 1.1 image edge examination introductionThe image edge is one of image most basic characteristics, often is carry
12、ing image majority of informations。But the edge exists in the image irregular structure and in not the steady phenomenon, also namely exists in the signal point of discontinuity place, these spots have given the image outline position, these outlines are frequently we when the imagery processing nee
13、ds the extremely important some representative condition, this needs us to examine and to withdraw its edge to an image。But the edge examination algorithm is in the imagery processing question one of classical technical difficult problems, its solution carries on the high level regarding us the char
14、acteristic description, the recognition and the understanding and so on has the significant influence; Also because the edge examination all has in many aspects the extremely important use value, therefore how the people are devoting continuously in study and solve the structure to leave have the go
15、od nature and the good effect edge examination operator question。In the usual situation, we may the signal in singular point and the point of discontinuity thought is in the image peripheral point, its nearby gradation change situation may reflect from its neighboring picture element gradation distr
16、ibution gradient。According to this characteristic, we proposed many kinds of edge examination operator: If Robert operator, Sobel operator, Prewitt operator, Laplace operator and so on.These methods many are wait for the processing picture element to carry on the gradation analysis for the central n
17、eighborhood achievement the foundation, realized and has already obtained the good processing effect to the image edge extraction.。But this kind of method simultaneously also exists has the edge picture element width, the noise jamming is serious and so on the shortcomings, even if uses some auxilia
18、ry methods to perform the denoising, also corresponding can bring the flaw which the edge fuzzy and so on overcomes with difficulty。Along with the wavelet analysis appearance， its good time frequency partial characteristic by the widespread application in the imagery processing and in the pattern re
19、cognition domain, becomes in the signal processing the commonly used method and the powerful tool。Through the wavelet analysis, may interweave decomposes in the same place each kind of composite signal the different frequency the block signal， but carries on the edge examination through the wavelet
20、transformation, may use its multi-criteria and the multi-resolution nature fully， real effective expresses the image the edge characteristic。When the wavelet transformation criterion reduces, is more sensitive to the image detail; But when the criterion increases, the image detail is filtered out, t
21、he examination edge will be only the thick outline.This characteristic is extremely useful in the pattern recognition, we may be called this thick outline the image the main edge.If will be able an image main edge clear integrity extraction, this to the goal division, the recognition and so on follo
22、wing processing to bring the enormous convenience.Generally speaking, the above method all is the work which does based on the image luminance information。In the multitudinous scientific research worker under, has obtained the very good effect diligently.But, because the image edge receives physical
23、 condition and so on the illumination influences quite to be big above, often enables many to have a common shortcoming based on brightness edge detection method, that is the edge is not continual, does not seal up.Considered the phase information in the image importance as well as its stable charac
24、teristic, causes using the phase information to carry on the imagery processing into new research topic。In this paper soon introduces one kind based on the phase image characteristic examination method - - phase uniform method.It is not uses the image the luminance information, but is its phase char
25、acteristic, namely supposition image Fourier component phase most consistent spot achievement characteristic point.Not only it can examine brightness characteristics and so on step characteristic, line characteristic, moreover can examine Mach belt phenomenon which produces as a result of the human
26、vision sensation characteristic.Because the phase uniformity does not need to carry on any supposition to the image characteristic type, therefore it has the very strong versatility。1.2 image edge definitionThe image majority main information all exists in the image edge, the main performance for th
27、e image partial characteristic discontinuity, is in the image the gradation change quite fierce place, also is the signal which we usually said has the strange change place。The strange signal the gradation change which moves towards along the edge is fierce, usually we divide the edge for the step s
28、hape and the roof shape two kind of types (as shown in Figure 1-1).In the step edge two side grey levels have the obvious change; But the roof shape edge is located the gradation increase and the reduced intersection point.May portray the peripheral point in mathematics using the gradation derivativ
29、e the change, to the step edge, the roof shape edge asks its step, the second time derivative separately。To an edge, has the possibility simultaneously to have the step and the line edge characteristic. For example on a surface, changes from a plane to the normal direction different another plane ca
30、n produce the step edge; If this surface has the edges and corners which the regular reflection characteristic also two planes form quite to be smooth, then works as when edges and corners smooth surface normal after mirror surface reflection angle, as a result of the regular reflection component, c
31、an produce the bright light strip on the edges and corners smooth surface, such edge looked like has likely superimposed a line edge in the step edge. Because edge possible and in scene object important characteristic correspondence, therefore it is the very important image characteristic。For instan
32、ce, an object outline usually produces the step edge, because the object image intensity is different with the background image intensity。1.3 paper selected topic theory significance The paper selected topic originates in holds the important status and the function practical application topic in the
33、 image project.The so-called image project discipline is refers foundation discipline and so on mathematics, optics principles, the discipline which in the image application unifies which accumulates the technical background develops.The image project content is extremely rich, and so on divides into three levels differently according to
