Man-made Object Detection Based on Texture Visual Perception
Автор: Fei Cai, Honghui Chen, Jianwei Ma
Журнал: International Journal of Engineering and Manufacturing(IJEM) @ijem
Статья в выпуске: 3 vol.2, 2012 года.
Бесплатный доступ
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.
Man-made object detection, image interpretation, feature extraction, clustering
Короткий адрес: https://sciup.org/15014304
IDR: 15014304
Список литературы Man-made Object Detection Based on Texture Visual Perception
- Li Bo, Chen Qi-mei, Guo Fan. Freeway Auto-surveillance From Traffic Video [C]. 2006 6th International Conference on ITS Telecommunications Proceedings. 2006. pp: 167-170.
- Hinz S, Baumgartner A. Automatic extraction of urban road networks from multi-view aerial imagery [J]; ISPRS Journal of Photogrammetry & Remote sensing, 2003, 58:83-98.
- BARNIV Y. Dynamic programming solution for detection dim moving target [J]. IEEE, Trans, AES 1994,30(1): 197-212.
- Jianxin Mei, Duan Shan, Qianqing Qin. Method for special targets detection based on support vector machines[J]. Geomatics and information science of Wuhan university 2004.29(10): 912-915.(in Chinese)
- Caifei, Tudan. Survey on man-made object detection in visible imagery. Application Research of Computers, 2010, 27(7): 2430-2434. (in Chinese)
- E.Peli, "Contrast in complex images," J.Opt.Soc.Amer.A, 1990.vol.7,pp.2032–2040,
- Jinshan Tang, Scott Acton. Image Enhancement Using a Contrast Measure in the Compressed Domain [J]. IEEE signal processing LETTERS. 10(10). 2003.10. 289-292.
- Peter Howarth, Smfan M. Ruger. Evaluation of Texture Feature for Content-based Image Retrieval [C]. Third International Conference,CIVR2004: 326-334
- Smith S M. Brady M .Susan –A New Approach to Low Level Image Processing [J]. International Journal of Computer Vision 1997.23(1).
- Ridha Touzi, Arand Lopes, Pierre Bousquet. A Statistical and Geometrical Edge Detector for SAR Images [J]. IEEE Transaction on geoscience and remote sensing.1988. 11.26(6). 764-773.
- Yingying Chen, Zhaohui Yang, Qun Su. Automatic Recognition of Man-made Objects in SAR Images Using Support Vector Machines [J]. 2009 Urban Remote Sensing Joint Event 9(9): 78-83.
- M. J. Carlotto. A Cluster-based Approach for Detecting Manmade Objects and Changes in Imagery [J], IEEE Trans. Geoscience and Remote Sensing, 2005. 43(2):374-387
- E. Peli. "Contrast in complex images," J. Opt. Soc. Amer. A. vol. 7, pp. 2032–2040, 1990.
