计算机工程2013，Vol.39Issue(1)：252-255,282,5.DOI:10.3969/j.issn.1000-3428.2013.01.055
基于分水岭算法的图像融合质量评价方法
Image Fusion Quality Assessment Method Based on Watershed Algorithm
摘要
Abstract
To the problem that objective image fusion quality assessment is not consistent with the subjective quality assessment, this paper puts forward an image fusion quality assessment method based on watershed algorithm. It utilizes the structure similarity theory to acquire the structure similarity information map, and applies watershed algorithm to segment the information map. In order to reduce the excessive segment phenomena, it makes the tag in the watershed and divides the image information into mutual information and independent information. It designs the mapping functions that process the mutual information and independent information separately, and accomplishes the fusion image quality assessment. Experimental results show that, compared with traditional methods, this method has advantage in anti-disturbance.关键词
分水岭算法/图像融合/质量评价/结构相似度/客观评价/主观评价Key words
watershed algorithm/ image fusion/ quality assessment/ structural similarity/ objective assessment/ subjective assessment分类
信息技术与安全科学引用本文复制引用
黄应清,齐鸥,蒋晓瑜,刘中晅..基于分水岭算法的图像融合质量评价方法[J].计算机工程,2013,39(1):252-255,282,5.基金项目
国家部委基金资助项目 （）
