CIOMP OpenIR  > 中科院长春光机所知识产出
The Cat's Eye Effect Target Recognition Method Based on Visual Attention
X.B.Wang; J.Zhang; S.H.Wang
2019
发表期刊Chinese Journal of Electronics
ISSN1022-4653
卷号28期号:5页码:1080-1086
摘要The Cat's eye effect target recognition method based on visual attention (CTRVA) is proposed. The difference image can be processed by a designed second-directional derivative filter at eight directional channels. Morphological method is employed to deal with the filtered image in all directions, which ensures that target can be easily distinguished from background. The salient maps for each channel where the potential targets exist are calculated through the spectral residual approach, and the "target-saliency" map is computed by a designed saliency fusing method. The coarse detection is performed by the adaptive threshold to extract candidate targets from the "target-saliency" map. The real target region is identified by the characteristics of the cat's eye effect target. Experimental results show that the proposed method is efficient and has an outstanding performance for cat's eye effect target detection.
关键词feature extraction,image fusion,object detection,target-saliency map,target region,Cat's eye effect target recognition method,visual,attention,second-directional derivative filter,directional channels,morphological method,potential targets exist,designed saliency fusing,method,candidate targets,Cat's eye effect target recognition method,based on visual attention (CTRVA),Target recognition,Saliency map,Engineering
DOI10.1049/cje.2019.06.027
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收录类别SCI
语种英语
引用统计
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/63497
专题中科院长春光机所知识产出
推荐引用方式
GB/T 7714
X.B.Wang,J.Zhang,S.H.Wang. The Cat's Eye Effect Target Recognition Method Based on Visual Attention[J]. Chinese Journal of Electronics,2019,28(5):1080-1086.
APA X.B.Wang,J.Zhang,&S.H.Wang.(2019).The Cat's Eye Effect Target Recognition Method Based on Visual Attention.Chinese Journal of Electronics,28(5),1080-1086.
MLA X.B.Wang,et al."The Cat's Eye Effect Target Recognition Method Based on Visual Attention".Chinese Journal of Electronics 28.5(2019):1080-1086.
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