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Proceedings Paper

Feature extraction inspired by V1 in visual cortex
Author(s): Chao Lv; Yuelei Xu; Xulei Zhang; Shiping Ma; Shuai Li; Peng Xin; Mingning Zhu; Hongqiang Ma
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Paper Abstract

Target feature extraction plays an important role in pattern recognition. It is the most complicated activity in the brain mechanism of biological vision. Inspired by high properties of primary visual cortex (V1) in extracting dynamic and static features, a visual perception model was raised. Firstly, 28 spatial-temporal filters with different orientations, half-squaring operation and divisive normalization were adopted to obtain the responses of V1 simple cells; then, an adjustable parameter was added to the output weight so that the response of complex cells was got. Experimental results indicate that the proposed V1 model can perceive motion information well. Besides, it has a good edge detection capability. The model inspired by V1 has good performance in feature extraction and effectively combines brain-inspired intelligence with computer vision.

Paper Details

Date Published: 10 April 2018
PDF: 6 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106155C (10 April 2018); doi: 10.1117/12.2302951
Show Author Affiliations
Chao Lv, Air Force Engineering Univ. (China)
Yuelei Xu, Air Force Engineering Univ. (China)
Xulei Zhang, Training Base of Xinjiang Border Defense Corps (China)
Shiping Ma, Air Force Engineering Univ. (China)
Shuai Li, Air Force Engineering Univ. (China)
Peng Xin, Air Force Engineering Univ. (China)
Mingning Zhu, Air Force Engineering Univ. (China)
Hongqiang Ma, Air Force Engineering Univ. (China)

Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

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