华中科技大学学报：自然科学版2012，Vol.40Issue(6)：65-68,4.
基于显著点的感兴趣区域提取及评价
Saliency point-based extraction and evaluation of interest regions
摘要
Abstract
For the point of reducing the data scale and improving efficiency of image processing, an algorithm of region of interest （ROD extraction based on saliency point was proposed. The algorithm obtained saliency map with visual attention map （VAM）, clusters and optimized saliency points, after binarizing saliency map, and then masks the image after seed filling and source image after its binarizing. Then the ROI can be gotten. The experimental results show that the algorithm can exactly extract ROI in image, and its computing speed is linear with the number of saliency point. Reference to the data of eye movement, performance evaluation shows that the miss classification rate of ROI is decreased by at least 50% and error classification rate does not exhibit further increase.关键词
图像分割/显著图/显著点/感兴趣区域/眼动/视觉注意模型Key words
image segmentation/saliency map/saliency point/region of interest/eye movement/visual attention model分类
计算机与自动化引用本文复制引用
陈再良,邹北骥,黄华杰,沈海澜..基于显著点的感兴趣区域提取及评价[J].华中科技大学学报：自然科学版,2012,40(6):65-68,4.基金项目
湖南省自然科学基金资助项目 （）
国家自然科学基金资助项目 （）
中央高校基本科研业务费专项资金资助项目（201021200062）. （）
