The infrared target recognition at sea background based on visual attention computational model and level set methodology

Deng-wei Wang; Tian-xu Zhang; Zhong-hua Wang; Long-sheng Wei; Wen-jun Shi; Xiao-yu Yang

doi:10.1117/12.831325

30 October 2009 The infrared target recognition at sea background based on visual attention computational model and level set methodology

Deng-wei Wang, Tian-xu Zhang, Zhong-hua Wang, Long-sheng Wei, Wen-jun Shi, Xiao-yu Yang

Author Affiliations +

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74953W (2009) https://doi.org/10.1117/12.831325
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

Infrared images at sea background are notorious for the low signal-to-noise ratio, therefore, the target recognition of infrared image through traditional methods is very difficult. In this paper, we present a novel target recognition method based on the integration of visual attention computational model and level set methodology. The two distinct techniques for image processing are combined in a manner to utilize the strengths of both. The visual attention searches the salient regions automatically, and represented them by a set of winner points, at the same time, demonstrated the salient regions in terms of circles centered at these winner points. This provides a priori knowledge for level set method, the initial level set function could be constructed based on the winner points, in this way, an automatic initialization of level set evolution can be obtained, and the boundaries of the targets can be obtained. The cost time does not depend on the size of the image but the salient regions, therefore the consumed time is greatly reduced. At the same time, this algorithm discards the re-initialization procedure and force the level set function to be close to a distance function, therefore reduces the side effects of re-initialization, The method is used in the recognition of several kinds of real infrared images, and the experimental results reveal the effectiveness of the algorithm presented in this paper.

Citation Download Citation

Deng-wei Wang, Tian-xu Zhang, Zhong-hua Wang, Long-sheng Wei, Wen-jun Shi, and Xiao-yu Yang "The infrared target recognition at sea background based on visual attention computational model and level set methodology", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74953W (30 October 2009); https://doi.org/10.1117/12.831325

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KEYWORDS

Visualization

Target recognition

Infrared radiation

Infrared imaging

Visual process modeling

Detection and tracking algorithms

Image processing

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