To deal with the disadvantages of Chan-Vese model(C-V model),such as convergence slowness,a level set image segmentation algorithm based on scale transform of edge detection function is proposed.

And the last is application of ε-subdifferential to marginal functions.

Large-size forging in edge detection based on wavelet transform;

Application of edge detection methods based on operators to the analysis of body digital images;

Pellets image edge detection algorithm based on variable-neighboring wavelet transform;

Sub-pixel edge detect technique based on LOG operator;

Firstly,in this algorithm the edge detect arithmetic operators was used to get the edge image of the image of circuit board,aim at the characteristic of .

First, it draws the smooth component and edge character from the image with the algorithm of dyadic wavelet transform multi scale edge detection, and makes them the image feature set that produces the digital signatures.

Median noise filtering algorithm was adopted,and sobel gradient operator was perfectly applied in the image edge extraction with the whole process,depending on revising the coefficient K.

Morphology is used for edge extraction of binary image.

Combining edge extraction methods and a circular template,this paper proposes a new method for detecting corners of text in spam images.