半导体光电, 2019, 40 (3): 407, 网络出版: 2019-07-09   

基于特征综合的红外动态伪装效果评估

Evaluation of Infrared Dynamic Camouflage Effect Based on Feature Synthesis
作者单位
1 陆军工程大学石家庄校区 光学工程教研室, 石家庄 050003
2 吉林大学珠海学院 电子信息工程学院, 广东 珠海 519041
摘要
针对红外动态伪装系统,提出了一种基于特征综合的红外动态伪装效果评估方法。根据红外侦测图像的特性,选择了亮度对比度、直方图特征、纹理特征和边缘形状特征等四种特征指标,分别统计背景图像与伪装图像之间四种特征的相似度。四种特征相似度在综合评估过程中所占的比重不固定,特征权重分配依据伪装图像特征序列数据的信息熵的大小决定。最后累加单幅伪装图像的四种特征值与特征权重的乘积,作为该幅图像的综合评价结果。在红外动态伪装系统上进行了试验,通过采集背景图像和序列伪装图像,验证了效果评估算法的可行性和有效性。红外动态伪装效果的评估结果可为优化伪装设计算法提供数据支撑。
Abstract
The evaluation of camouflage effect is an important part of camouflage design. Aiming at the infrared dynamic camouflage system, an evaluation method of infrared dynamic camouflage effect based on feature synthesis is proposed. According to the characteristics of infrared detection images, four feature indexes, namely brightness contrast, histogram, texture and edge shape, were selected to calculate the similarity between background image and camouflage image. The similarity proportion of the four features in the comprehensive evaluation process is not fixed, and the feature weight distribution is based on the entropy of the disguised image feature sequence data. Finally, the product of four characteristic values and characteristic weights of a single camouflage image is added as the comprehensive evaluation result of the image. Experiments were carried out on the infrared dynamic camouflage system, and the feasibility and effectiveness of the algorithm were verified by collecting background images and sequence camouflage images. The results of dynamic infrared camouflage effect evaluation can provide data support for the optimization of camouflage design algorithm.

应家驹, 何永强, 陈玉丹, 周冰, 武东生. 基于特征综合的红外动态伪装效果评估[J]. 半导体光电, 2019, 40(3): 407. YING Jiaju, HE Yongqiang, CHEN Yudan, ZHOU Bing, WU Dongsheng. Evaluation of Infrared Dynamic Camouflage Effect Based on Feature Synthesis[J]. Semiconductor Optoelectronics, 2019, 40(3): 407.

本文已被 2 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!