Journal of Xidian University

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Texture feature extraction simulating the structure of V1 in the cortex

ZOU Hongzhong;XU Yuelei;MA Shiping;LI Shuai;ZHANG Wenda   

  1. (Institute of Aeronautics and Astronautics Engineering, Air Force Engineering Univ., Xi'an 710038, China)
  • Received:2016-06-29 Online:2017-06-20 Published:2017-07-17

Abstract:

Focusing on the limitation of the traditional model in extracting image texture features, and referring to the sensitivity of V1 to the edge and shape, the texture feature extraction model based on the V1 model is creatively put forward. 2D Gabor filters and exponential delay function are adopted to simulate the receptive fields of the V1 simple cell, and further a V1 model is obtained by citing the sum of absolute values and normalization, and by analyzing the response characteristics of natural images, image texture features can be obtained by decoding. Simulation results show that the V1 model can tally basically with the experimental data of biology and extract motion features from the grid and random-dot stimuli, and by choosing the best model parameters by comparison, the proposed texture feature extraction model can extract texture features from simple synthetic images and natural images, which effectively sets up the correlation platform of biological vision and computer vision.

Key words: texture, visual feature, primary visual cortex model, natural image, motion feature