基于PCNN的分割图像压缩编码

segmented image coding algorithm based on Pulse Coupled Neural Network (PCNN) is presented in this paper. PCNN has the property of local interconnection and changing threshold through which those adjacent pixels that have approximate gray values can be pulsed simultaneously. So PCNN has the foundation of realizing the regional segmentation. And through the adjustment of the parameters of PCNN, segmented images that contain the details of origin can be achieved and at the same time the trivial segmented regions may be avoided. For the better approximation of segmented regions, the Gram-Schmidt method, by which a group of orthogonal base functions is constructed from a group of linear independent initial functions, is adopted. Because of the orthogonal reconstructing method, the quality of reconstructed image can be greatly improved and the progressive image transmission also becomes possible..