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 vector by quantization and clustering in HSV color model, it promotes the concerned isolated pixel color description into the color feature of its neighborhood region color histogram. 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.
Mutual information Histogram Color moments Information entropy CBIR
Xiangang Jiang Qing Liang Tao Shen
Information Engineering School of East China, Jiaotong University,Nanchang, Jiangxi, China (330013) Basic Science School of East China Jiaotong University, Nanchang, Jiangxi, China (330013)
国际会议
南昌
英文
30-38
2010-10-22(万方平台首次上网日期,不代表论文的发表时间)