数据采集与处理2018，Vol.33Issue(2)：379-388,10.DOI:10.16337/j.1004-9037.2018.02.021
基于中低层结合的图像感兴趣区域标注
Region of Interest Marked by Low and Middle Levels
摘要
Abstract
Image marking of the region of interest is an important research topic in image processing in recent years.The combination of low and middle levels can ensure the result has both of their information.First,we get the middle-level coarse saliency map by using the boosting Harris to make a convex hall and superpixels clustered by GBR.And then we weight different Gaussian filters to get the low-level saliency map.The final saliency map is combinated by middle-level saliency map and low-level saliency map.Experiments on the public databases coming from Microsoft Research Asia show that the proposed algorithm performs better than state-of-art algorithms not only on subjective evaluation but also on objective evaluation,and it is effective at the eliminate of background noise and outstanding at making the saliency regions high light.关键词
感兴趣区域/显著图/GBR/改进FTKey words
region of interest/saliency map/GBR/improved FT分类
信息技术与安全科学引用本文复制引用
周洁,王士同..基于中低层结合的图像感兴趣区域标注[J].数据采集与处理,2018,33(2):379-388,10.基金项目
国家自然科学基金(61170122)资助项目. （61170122）
