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作 者:黄富瑜 张帅 周冰 陈玉丹 王鹏 刘利民 HUANG Fuyu;ZHANG Shuai;ZHOU Bing;CHEN Yudan;WANG Peng;LIU Limin(Shijiazhuang Campus,Army Engineering University of PLA,Shijiazhuang 050003,China;Beijing Institute of Tracking and Telecommunication Technology,Beijing 100094,China)
机构地区:[1]陆军工程大学石家庄校区,河北石家庄050003 [2]北京跟踪与通信技术研究所,北京100094
出 处:《陆军工程大学学报》2025年第1期47-52,共6页Journal of Army Engineering University of PLA
基 金:国家自然科学基金(62171467);河北省自然科学基金(F2021506004)。
摘 要:针对常规特征匹配色彩传递法在融合超大视场红外微光图像时产生的误匹配高、效果不佳等问题,提出了一种基于超像素特征和色彩聚类联合约束的自然感彩色融合方法。对超大视场微光图像和彩色参考图像的空间进行超像素分割,并依次构建低、中、高层次超像素特征集;利用改进的Fuzzy ART网络对彩色参考图像的空间进行超像素色彩聚类处理;根据超像素特征相似度建立超像素初始匹配集;利用自适应色彩传递生成微光初始彩色图像,并将其与超大视场红外图像融合,得到初始彩色融合图像;根据红外独立信息与具备色彩的红外信息之间的相似性,对红外独立信息进行色彩传递,最终获得自然感彩色融合图像。结果表明,相较于传统方法,所提方法在融合指标和色彩指标方面分别提高19.5%和9.4%以上,得到的融合图像不仅较好地保留了红外和微光图像的显著特征信息,而且图像色彩自然、连续。When the conventional feature matching color transfer method is applied to the fusion of ultra-wide field-of-view infrared and low-light images,the problems such as high mismatch rate and poor fusion effect may occur.Thus,A natural color fusion method based on superpixel features and color clustering joint constraints is proposed.First of all,the superpixel segmentation is carried out on low-light image and space of color reference image,and low-level,mid-level,and high-level superpixel feature sets are constructed sequentially.Secondly,the superpixel color clustering of space of color reference image is processed by the improved Fuzzy ART network.Thirdly,the initial superpixel matching set is established based on the similarity of superpixel features.Additionally,with the adaptive color transfer,an initial colorized low-light image is generated and then fused with an ultra-wide field-of-view infrared image to obtain an initial color-fused image.Finally,based on the similarity between infrared-only information and infrared information with color,color transfer is applied to the infrared-only information,ultimately obtaining a naturally colored fused image.The experiment results indicate that compared with traditional methods,the proposed method improves fusion metrics and color metrics by over 19.5%and 9.4%,respectively.The fused images obtained not only retain the significant feature information of both infrared and low-light images well,but also exhibit natural and continuous colors.
分 类 号:TN215[电子电信—物理电子学]
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