文档介绍：image edge examination algorithm
Abstract
Digital image processing took a relative quite young discipline, is following puter technology rapid development, day by day obtains the widespread edge took the image one kind of basic characteristic, in the pattern recognition, the image division, the image intensification as well as the pression and so on in the domain has a more widespread edge detection method many and varied, in which based on brightness algorithm, is studies the time to be most 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 processing and the edge detection survey, has enumerated several kind of at monly 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 parison, the research discusses 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 press of the image, is often applied tohigh-level are many kinds of ways to detect the edge. Anyway, there 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, Laplace, 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