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Man-made Object Detection Based on Texture Visual Perception
Author(s) -
Fei Cai,
Honghui Chen,
Jianwei Ma
Publication year - 2012
Publication title -
international journal of engineering and manufacturing
Language(s) - English
Resource type - Journals
eISSN - 2306-5982
pISSN - 2305-3631
DOI - 10.5815/ijem.2012.03.01
Subject(s) - artificial intelligence , texture (cosmology) , computer vision , object detection , object (grammar) , computer science , feature (linguistics) , cluster analysis , perception , pattern recognition (psychology) , visual perception , human visual system model , image (mathematics) , psychology , neuroscience , linguistics , philosophy
Based on human visual attention mechanism and texture visual perception, this paper proposes a method for man-made object detection by extracting texture and geometry structure features. Followed by clustering the texture feature, geometry structure feature is obtained to realize final detection. Then a man-made object detection scheme is designed, by which typical man-made objects in complex natural background, including airplanes, tanks and vehicles can be detected. The experiments sustain that the proposed method is effective and rational.

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