A New Color Information Entropy Retrieval Method for Pathological Cell Image

For the distribution characteristics in a slice of pathological cell image, the system transforms them into the characteristic vectores by quantization and clustering in HSV color model, it promotes the concerned isolated pixel color description into the color feature ralative to its neighborhood’s color histogram and color moments. By choosing appropriate neighborhood window size, it uses color information entropy method to gain efficient primary classification of gastric slice image and the similar retrieval results from the sample library images. Experiments show that this method has a better image classification and retrieval result.