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Proceedings Paper

Gauss-Markov-random-field-based small-target detection in infrared images
Author(s): Wen Sheng; Jianguo Liu; Xingjian Wu
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Paper Abstract

In this paper, a new small target detection approach which is based on the analysis of image background texture is presented, and Gaussian-Markov random field (GMRF) is chosen as texture model. Texture features can be obtained from the least square error estimation of GMRF parameters. Image is divided into non-overlapped blocks, and feature vector is obtained for each block. Using the normalized Euclidean distance of feature vectors as a measure of the difference of textures, target detection can be performed in a coarse to fine procedure according to the difference of features and approximation error.

Paper Details

Date Published: 25 September 1998
PDF: 4 pages
Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323679
Show Author Affiliations
Wen Sheng, Huazhong Univ. of Science and Technology (China)
Jianguo Liu, Huazhong Univ. of Science and Technology (China)
Xingjian Wu, No. 717 Research Institute of CSSC (China)


Published in SPIE Proceedings Vol. 3545:
International Symposium on Multispectral Image Processing (ISMIP'98)
Ji Zhou; Anil K. Jain; Tianxu Zhang; Yaoting Zhu; Mingyue Ding; Jianguo Liu, Editor(s)

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