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Received:April 14, 2017 Revised:May 02, 2017
Received:April 14, 2017 Revised:May 02, 2017
中文摘要: 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.
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.
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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）
| Author Name | Affiliation |
| ZHU Ya-Hui | Department of Mathematics, Shaanxi Xueqian Normal University, Xi'an 710077, China |
| Author Name | Affiliation |
| ZHU Ya-Hui | Department of Mathematics, Shaanxi Xueqian Normal University, Xi'an 710077, China |
引用文本：
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.计算机系统应用,2018,27(2):216-222
ZHU Ya-Hui.Similarity of Infrared and Visible Fusion Quality Index Based on Cluster Analysis.COMPUTER SYSTEMS APPLICATIONS,2018,27(2):216-222
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.计算机系统应用,2018,27(2):216-222
ZHU Ya-Hui.Similarity of Infrared and Visible Fusion Quality Index Based on Cluster Analysis.COMPUTER SYSTEMS APPLICATIONS,2018,27(2):216-222
