强激光与粒子束2011，Vol.23Issue(3)：617-622,6.DOI:10.3788/HPLPB20112303.0617
基于双阈值视觉注意模型的图像关注焦点检测
Image focus-of-attention detection based on double threshold visual attention model
摘要
Abstract
Image focus-of-attention detection is the key technology of image region-of-interest extraction based on human visual attention model.A new image focus-of-attention detection algorithm is proposed based on double-threshold visual attention model.First, the intensity, colors, orientations and the center moments of discrete moment transform are extracted to generate the conspicuity maps for each feature.Second, the conspicuity maps are combined to get a saliency map.Finally, according to the gray-scale histogram of the saliency map, the static threshold and dynamic threshold are found to confirm the positions and numbers of the image focuses of attention.The experimental results show that the new algorithm has more outstanding performance in accuracy of image focus-of-attention detection than the Itti's model, and coincides better with human's visual habits.关键词
图像处理/感兴趣区/视觉注意/关注焦点/双阈值Key words
image processing/ region of interest/ visual attention/ focus of attention/ double-threshold分类
信息技术与安全科学引用本文复制引用
张立保,李浩..基于双阈值视觉注意模型的图像关注焦点检测[J].强激光与粒子束,2011,23(3):617-622,6.基金项目
国家自然科学基金项目(60602035,61071103) （60602035,61071103）
中国科学院遥感应用研究所、北京师范大学遥感科学国家重点实验室开放基金项目(OFSLRSS201001) （OFSLRSS201001）
