A new image edge detection method inspired from biological visual cortex

Authors:
Zuojin Li;Liukui Chen;Hongpeng Yin;Jia Yu
Affiliations:
College of Electronic and Information, Chongqing University of Science and Technology, Chongqing, People’s Republic of China;College of Electronic and Information, Chongqing University of Science and Technology, Chongqing, People's Republic of China;College of Automation, Chongqing University, Chongqing, People's Republic of China;College of Automation, Chongqing University, Chongqing, People's Republic of China
Venue:
WSEAS Transactions on Computers
Year:
2010

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Abstract

Gabor function can be expressed as the alternate dual-function of the positioning of the characteristics and selectivity of the spatial frequency of the receptive field, which can effectively describe the property of the receptive field of the simple cells in human visual cortex. However, the existing literature provides no strict mathematical proof for this fact. This work integrates Gabor function into the integral framework, and proves that the integral transformation of Gabor nuclear possesses the quality of responding to the edge stimuli as the visual cortex. Experiments show that the integral transformation can extract the features of image edge.