A New Color Information Entropy Retrieval Method for Pathological Cell Image

摘要：

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.

关键词： Mutual information Histogram Color moments Information entropy CBIR

作者: Xiangang Jiang Qing Liang Tao Shen

作者单位: Information Engineering School of East China, Jiaotong University,Nanchang, Jiangxi, China (330013) Basic Science School of East China Jiaotong University, Nanchang, Jiangxi, China (330013)

会议类型: 国际会议

会议名称: The 4th IFIP International on Computer and Computing Technologies in Agriculture and the 4th Symposium on Development of Rural Information(第四届国际计算机及计算机技术在农业中的应用研讨会暨第四届中国农业信息化发展论坛 CCTA 2010)

会议地点: 南昌

会议语种:英文

页码: 30-38

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）