摘要
基于场景理解的彩色融合图像质量用于衡量观察者通过融合图像准确理解场景内容的难易程度,通常采用主观评价的方式获得。为了提升主观评价的稳定性,以村庄场景为例,将基于场景理解的彩色融合图像质量这一较抽象的概念具体化为区域分割和景物辨别两项性能指标,组织15名观察者主观评价了42幅不含热目标的彩色融合图像的质量。使用结构方程模型对主观评分值进行分析,建立了基于场景理解的彩色融合图像质量的预测模型,并验证了预测模型的正确性。结果表明,在村庄场景下,基于场景理解的彩色融合图像质量可由颜色协调性和颜色自然感2个因素预测,并更多地表现为景物辨别性能。
concept of color fusion image quality based on scene understanding was concretized into two performance indicators:segmentation of regions and discrimination of objects.Taking village scenes as example,15 people were organized to subjectively assess the quality of 42 color fusion images of the village scenes without thermal targets.The subjective scores were analyzed by using structural equation model.The prediction model of color fusion image quality based on scene understanding was established and the correctness of the model was verified.The results show that the color fusion image quality based on scene understanding in village scenes can be predicted by two factors of color harmony and color naturalness,and the image quality is more manifested in the performance of discrimination of objects.
作者
何炳阳
张宇
肖逸凡
李阳年
陈露
祁雪燕
HE Bingyang;ZHANG Yu;XIAO Yifan;LI Yangnian;CHEN Lu;QI Xueyan(Huayin Ordance Test Center of China,Weinan 714000,China;Reserve Joint Logistics Support Brigade,Chongqing 400000,China)
出处
《电光与控制》
CSCD
北大核心
2024年第6期81-86,共6页
Electronics Optics & Control
基金
行业项目。
关键词
彩色融合图像
主观评价
场景理解
预测模型
结构方程模型
color fusion image
subjective assessment
scene understanding
prediction model
structural equation model
作者简介
何炳阳(1989—),男,陕西宝鸡人,博士,工程师。
