摘要
针对目前单因素评价指标的局限性和评价结果的不一致性,从模糊集理论出发,提出了一种基于加权Chebyshev距离的图像评价方法。该方法将两幅图像映射到两个模糊集中,通过隶属度和权重的选择来确定模糊集的Chebyshev距离,该距离值可以综合反映融合图像性能的优劣。仿真实验表明该评价指标与多数单因素评价指标一致,对极少数差异较大的像素点不敏感,并且与目视效果有很好的一致性。
According to the limitation and nonuniformity of the present single factor fusion evaluation ,the fuzzy set theory is embarked from and a kind of evaluation method based on the weighting Chebyshev distance is proposed. This method maps two images to two fuzzy sets and determines the two fuzzy sets＇ Chebyshev distance through the choice of subjection degree and weight. Then the value of Chebyshev distance can represent the fusion image performance. Evaluation experiments of different fusion images obtained by different methods show that, this evaluation method is consist with most single factor evaluations, and is not sensitive to tiny minority pixel which has big difference, the evaluation result and the subjective feeling of human being have very good compatibility.
出处
《计算机应用与软件》
CSCD
北大核心
2007年第8期47-49,共3页
Computer Applications and Software
基金
广东省科技厅科技计划项目(2004B32801005)
