The retrieval of the medical tongue-coating images using fuzzy CMAC neural network

A retrieval way of the medical color tongue-coating images is presented in this paper. Using the fuzzy CMAC neural network, the weighted fuzzy association of the color histograms are summed up with the self-adaptive adjustment of each regarded feature-color´s weight strength during the process, so the retrieval can be concentrated efficiently on several distinct color vectors. The experimental results show, compared with the weighted fuzzy associate algorithm, whose strength is adjusted in manual, the new way is more accurate and effective, and less sensitive to the shadows and heliograms on the images