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聚类分析的红外与可见光融合质量指标相似性研究
引用本文:朱亚辉.聚类分析的红外与可见光融合质量指标相似性研究[J].计算机系统应用,2018,27(2):216-222.
作者姓名:朱亚辉
作者单位:陕西学前师范学院 数学系, 西安 710077
基金项目:陕西省教育厅科学研究计划项目(16JK1183);陕西学前师范学院引进人才科研启动基金(2015DS02)
摘    要:为了研究红外与可见光图像融合质量评价指标相关性,提出了聚类分析的红外与可见光图像融合质量评价指标相似性研究. 本文列举了11个常用的图像融合质量客观评价指标,分别采用斯皮尔曼等级相关系数和灰色关联度建立相关矩阵,通过分析阈值变化率选取最优聚类阈值,对相似程度较高的评价指标给出合理的聚类. 在实验中,以10组红外与可见光图像融合为评价对象,通过聚类分析将11个评价指标分为6类,该聚类结果可以作为选取合理的红外与可见光图像融合质量评价指标集的依据.

关 键 词:红外图像  可见光图像  质量评价  聚类分析
收稿时间:2017/4/14 0:00:00
修稿时间:2017/5/2 0:00:00

Similarity of Infrared and Visible Fusion Quality Index Based on Cluster Analysis
ZHU Ya-Hui.Similarity of Infrared and Visible Fusion Quality Index Based on Cluster Analysis[J].Computer Systems& Applications,2018,27(2):216-222.
Authors:ZHU Ya-Hui
Affiliation:Department of Mathematics, Shaanxi Xueqian Normal University, Xi''an 710077, China
Abstract:In order to study the correlation between infrared and visible image fusion quality evaluation indexes, the similarity of the fusion quality evaluation indexes of infrared and visible images based on cluster analysis is put forward. In this paper, eleven evaluation indexes are listed, and correlation matrix are respectively established by using Spearman rank correlation coefficient and grey correlation degree. Through the analysis of change rate of threshold, the optimal clustering threshold is selected and the evaluation index of the degree of similarity is given. In the experiment, 10 groups of commonly used infrared and visible fusion images are respectively evaluated by 11 evaluation indicators, and then 11 evaluation indicators are divided into 6 categories by cluster analysis method. The results can be used as the basis for selecting a reasonable objective evaluation index set.
Keywords:infrared image  visible image  quality evaluation  cluster analysis
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