MF-CFI:A fused evaluation index for camouflage patterns based on human visual perception

作     者：Xin Yang Wei-dong Xu Qi Jia Jun Liu Xin Yang;Wei-dong Xu;Qi Jia;Jun Liu

作者机构：National Key Laboratory of Lightning Protection and Electromagnetic CamouflageArmy Engineering UniversityNanjingJiangsu210007China 

出 版 物：《Defence Technology（防务技术）》 (Defence Technology)

年 卷 期：2021年第17卷第5期

页      面：1602-1608页

核心收录：

学科分类：11[军事学] 1109[军事学-军事装备学] 

基　　金：Natural Science Foundation of Jiangsu Province&Key Laboratory Foundation grant number is BK20180579&6142206180204 respectively 

主　　题：Camouflage evaluation Visual perception Effect assessment Fused index Eye movement analysis 

摘      要：The evaluation index of camouflage patterns is important in the field of military *** is the goal that researchers have always pursued to make the computable evaluation indicators more in line with the human visual *** order to make the evaluation method more computationally intelligent,a Multi-Feature Camouflage Fused Index(MF-CFI)is proposed based on the comparison of grayscale,color and texture features between the target and the *** order to verify the effectiveness of the proposed index,eye movement experiments are conducted to compare the proposed index with existing indexes including Universal Image Quality Index(UIQI),Camouflage Similarity Index(CSI)and Structural Similarity(SSIM).Twenty-four different simulated targets are designed in a grassland background,28 observers participate in the experiment and record the eye movement data during the observation *** results show that the highest Pearson correlation coefficient is observed between MF-CFI and the eye movement data,both in the designed digital camouflage patterns and largespot camouflage *** MF-CFI is more in line with the detection law of camouflage targets in human visual perception,the proposed index can be used for the comparison and parameter optimization of camouflage design algorithms.