The X-ray Chest Image Retrieval Based on Feature Fusion

摘要：

Based on the analysis of methods of CBIR and chest image characteristic, in this paper, color correlogam, dominant color of partition, gray level co-occurrence matrix, gray-gradient co-occurrence matrix and shape invariant moments were extracted as retrieval feature. After comparison of their retrievals, feature fusion and relevance feedback is proposed. Experiments proved that the combining color, texture with shape feature gets effective retrieval and relevance feedback further more improves retrieval.

作者: Quan Zhang Xiaoying Tai

作者单位: Department of Computer Science, Ningbo University Zhejiang 315211

会议类型: 国际会议

会议名称: 2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)

会议地点: 镇江

会议语种:英文

页码: 899-903

在线出版日期: 2008-07-07（万方平台首次上网日期，不代表论文的发表时间）