Contour-based feature extraction for image potential energy theory

A good feature extraction method can improve the performance of pattern recognition system or classification system. The contour can better to retain the original features of the object. In target recognition system , using potential energy of contour-point projection into the plane coordinate system. The method can be better to show a contour in the structural feature. In addition, it´s better avoid the matrix storage redundancy. In all energy projection method, potential energy projection is better show its superiority in the structure information, the time of consumption and the storage space. Using potential energy theory into binary image feature extraction and feature store is a new method for image processing. Potential energy is to compute the energy of each pixel the first, and store the energy in order, which is better to retain the image features, and facilitate storage and classification. Contour is one of the most important features for distinguish between two objects. The contour potential energy can be used in target recognition and target classification field and so on.