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.

Application of wavelet multi-scale transformation in the image-edge detecting;

And S3C2410 uses binarization,edge detecting and other image process techniques to get data of spectacles frame edge and works out .

By making the best use of the advantages of ZOM edge detecting method to deal with the noise and providing the positional and directional information of the edge points,the method proposed extracts the thought of curve recognition in K-RANSAC method.