Salient man-made structure detection in infrared images

Dong-jie Li; Fu-gen Zhou; Ting Jin

doi:10.1117/12.2033514

11 September 2013 Salient man-made structure detection in infrared images

Dong-jie Li, Fu-gen Zhou, Ting Jin

Proceedings Volume 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications; 89073E (2013) https://doi.org/10.1117/12.2033514
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China

Abstract

Target detection, segmentation and recognition is a hot research topic in the field of image processing and pattern recognition nowadays, among which salient area or object detection is one of core technologies of precision guided weapon. Many theories have been raised in this paper; we detect salient objects in a series of input infrared images by using the classical feature integration theory and Itti’s visual attention system. In order to find the salient object in an image accurately, we present a new method to solve the edge blur problem by calculating and using the edge mask. We also greatly improve the computing speed by improving the center-surround differences method. Unlike the traditional algorithm, we calculate the center-surround differences through rows and columns separately. Experimental results show that our method is effective in detecting salient object accurately and rapidly.

Citation Download Citation

Dong-jie Li, Fu-gen Zhou, and Ting Jin "Salient man-made structure detection in infrared images", Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 89073E (11 September 2013); https://doi.org/10.1117/12.2033514

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