中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Bionic Algorithm for Color Fusion of Infrared and Low Light Level Image Based on Rattlesnake Bimodal Cells

文献类型:期刊论文

作者Li HQ(李慧奇); Zhang Z(张震); Zhao GR(赵国如)
刊名IEEE Access
出版日期2018
文献子类期刊论文
英文摘要Night vision technology is becoming ever-more widely used in military and civil fields, and it will be more accurate for target detection and recognition through color fusion of infrared and low light level images. Since the classic Waxman fusion model-only simulates the rattlesnake's IR-depressed Visual Cell and the target in fusion image is not obvious, a novel fusion model is proposed in this paper. We enhance the edge information through the ON neural network for the infrared and low light-level images and then establish a mathematical model to process the rattlesnake's "enhanced cells" and "depressed cells". Next, we input the oN-central receptive field for fusion and RGB spatial mapping, which can fully realize the union function of the "enhanced cells" and "depressed cells". Finally, we conduct comparative experiments and image quality evaluation with the classical Waxman fusion model. The results show that image targets are more obvious obtained by our algorithm and increased by an average of 51.97%, 4.07%, and 7.62% than Waxman algorithm in terms ofcolor, mutual information, and structural similarity, respectively. It turned out that our fusion images are richer in color than the Waxman fusion images, which contain more source image information, and more similar to the source image structure.
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语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/14266]  
专题深圳先进技术研究院_医工所
推荐引用方式
GB/T 7714
Li HQ,Zhang Z,Zhao GR. Bionic Algorithm for Color Fusion of Infrared and Low Light Level Image Based on Rattlesnake Bimodal Cells[J]. IEEE Access,2018.
APA 李慧奇,张震,&赵国如.(2018).Bionic Algorithm for Color Fusion of Infrared and Low Light Level Image Based on Rattlesnake Bimodal Cells.IEEE Access.
MLA 李慧奇,et al."Bionic Algorithm for Color Fusion of Infrared and Low Light Level Image Based on Rattlesnake Bimodal Cells".IEEE Access (2018).

入库方式: OAI收割

来源:深圳先进技术研究院

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