A BP NEURAL NETWORK-BASED COLOR SPACE QUANTIZATION SCHEME

摘要：

A BP Neural Network-based color space quantization scheme with human perception Tor the different color during the quantization process is propose in this paper.The method of gathering color samples, the design of gathering software and the method of data processing based on BP neural network for color samples are introduced. This quantization scheme may be used for image color feature extraction and image segmentation based on regions.lf this scheme is applied to the image retrieval system, the gap between low-feature and high-level semantic concepts is reduced in a new perspective since it considers human perception into such system with human vision habits.

关键词： Tracking Color Space Quantization BP Neural Network Color Sample Gathering

作者: YONG-MEI ZHOU SU-MEI LI MIN TANG

作者单位: School of Informatics, Guangdong University of Foreign Studies, Guangzhou 51006,China Educational Technology Center, Guangdong University of Foreign Studies, Guangzhou 510420,China Computing and Communicating College, Hunan University of Technology, Zhuzhou, 412008,China

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: 2690-2694

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）