IMAGE RETRIEVAL BASED ON COLOR TONE VARIANCE DIFFERENCE FEATURE

摘要：

Interest is being concentrated on effective feature extraction methods for content based image retrieval. In this paper, we propose a RGB color retrieval technique based on color tone variance difference for image retrieval that is robust with respect to object size. After RGB images are arranged in color, RGB size order, color tone variance difference between colors RGB was used as the feature vector. Then each calculated variance difference was quantized into three areas and re-arranged. The proposed algorithm demonstrated improved performance compared to existing color histogram, CCV and color correlogram methods, through experiments.

关键词： Content-based image retrieval Web content Database RGB Tone variance

作者: YOUNGEUN AN SUNGBUM PAN JONGAN PARK

作者单位: Dept.of Information & Communication, Chosun University, Kwangju, South Korea

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 3777-3780

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）