Research on gradation stereo matching algorithm based on the edge feature points

Aiming at the problems of high FAR and mass calculations in the two common hand shape authentication algorithm,feature vector method and outline points feature method,this paper puts forward the concepts of finger left half and right half width to synthesize advantages of the two algorithm mentioned above organically and get rid of the disadvantages of them.

Video foreground and background segmentations based edge features;

New fast intra mode decision algorithm based on edge feature for H.264/AVC;

A hybridized matching algorithm is proposed based on edge feature and correlation coefficient method after analyzing traditional grey-based algorithms and feature-based algorithms.

The machining program of the work parts for numerical control machine can be produced automatically based on the edge characteristic.

When embedding watermarking, the original image was decomposed by 3-level discrete wavelet first, and then the edge characteristic of the third approximation coefficient was extracted.

Besides texture features,remote sensing images process abundant structured edge features.

The method integrates the image clustering approach with the template edge extraction, extracts image edge features by using the concept of ant clustering, and then builds up multiple templates for image edge extraction to set the heuristic function for clustering and the initial cluster center, which can avoid the blind search in traditional ant colony clustering.

The multi-scale image edges were optimized by using correlation algorithm,which can keep the important edge information in detail,eliminate redundant and illusory edge information,and also detect characteristic edge efficiently.