SEGMENTATION-BASED IMAGE RETRIEVAL

摘要：

Color features are important to pictures and they are easy to calculate.Therefore, the features are widely used in content-based image retrieval (CBIR)47.In the meantime, it lacks space information.In this paper, color spaces are analyzed and YUV color space is chosen.Color and texture features are extracted in segmentation block, so there are space information.Major color, major segmentation block, a new kind of color quantization and a new Gray scale co-existing matrixs method are proposed.Our approach is described in detail and compared with other methods presented in the literature to deal with the same problem.The experiments are finished and show that the method in this paper is effective and efficient.

关键词： Image retrieval Color histogram Content-based image retrieval (CBIR) Texture feature Image segmentation

作者: ZHEN-HUA ZHANG YI-NAN LU WEN-HUI LI GANG WANG

作者单位: College of Computer Science and Technology, Jilin University, Changchun 130012, China Key laboratory of Symbolic Computing and Knowledge Engineering of Ministry of Education, Jilin Unive

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1739-1743

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）