Man-made Object Detection Based on Texture Visual Perception

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Author(s)

Fei Cai 1,* Honghui Chen 1 Jianwei Ma 1

1. Department of Science and Technology on Information Systems Engineering National University of Defense Technology ChangSha, HuNan Province, China

* Corresponding author.

DOI: https://doi.org/10.5815/ijem.2012.03.01

Received: 23 Feb. 2012 / Revised: 6 Apr. 2012 / Accepted: 16 May 2012 / Published: 29 Jun. 2012

Index Terms

Man-made object detection, image interpretation, feature extraction, clustering

Abstract

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.

Cite This Paper

Fei Cai,Honghui Chen,Jianwei Ma,"Man-made Object Detection Based on Texture Visual Perception", IJEM, vol.2, no.3, pp.1-8, 2012. DOI: 10.5815/ijem.2012.03.01

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