摘要
提出了一种由眼动感知信息引导区域生长的彩色图像感兴趣区域提取算法。在对被试眼动感知数据分析的基础上,算法首先提取感兴趣位置点,然后以这些点的邻域信息作为种子点,在特定的颜色空间中采用颜色同质准则提取出一系列初始感兴趣区域,最后将这些区域按照被试的"关注度"进行排序得到最终的感兴趣区域。算法在RGB、HSV、L*a*b等颜色空间中进行了测试。实验结果表明,提出的算法在RGB和HSV色彩空间中得到的感兴趣区域更加符合人的主观感知,具有一定的应用价值。
A Region of Interest（ROI） extraction algorithm of color image is proposed,which is based on the classical seeded region growing method guided by eye-tracking perception information.Based on the analysis of subjects＇ eye-tracking data,the proposed algorithm can generate the interesting points automatically,whose neighborhood information is then used to obtain a series of initial ROIs by color homogeneity criterion in specific color space.The final ROI is picked up from the initial ROIs according to the viewer＇s attentive degree.The proposed algorithm is tested in RGB,HSV and L＊a＊b color space.Experimental results show that the proposed algorithm using in RGB and HSV color space can accord human＇s subjective perception,and have certain application value.
出处
《光电工程》
CAS
CSCD
北大核心
2011年第4期115-123,共9页
Opto-Electronic Engineering
基金
国家杰出青年科学基金(60788101)
国家自然科学基金(61001215,60705016)
浙江省自然科学基金(Y1080740)
浙江省大学生科技成果推广项目(ZX100701043)
关键词
视觉感知
图像显著性分析
感兴趣区域
眼动仪
区域生长
visual perception
image saliency analysis
region of interest
eye tracker
seeded region growing
