吉林大学学报(工学版) ›› 2012, Vol. 42 ›› Issue (01): 128-133.

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Contour detection based on HMAX model and non-classical receptive field inhibition

ZHAO Hong-wei1,2, CUI Hong-rui1, DAI Jin-bo1,3, ZANG Xue-bai1   

  1. 1. College of Computer Science and Technology, Jilin University,Changchun 130012,China;
    2. Key Laboratory of Symbolic Computation and Knowledge Engineering for Ministry of Education, Jilin University, Changchun 130012,China;
    3. Department of Computer Science and Technology,Changchun Normal University,Changchun 130032,China
  • Received:2010-09-12 Online:2012-01-01 Published:2012-01-01

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Abstract:

To solve the problem of low accuracy of contour detection of objects with complex texture background in the image,the existing contour detection algorithm based on non-classical receptive field inhibition and hierarchical model and X(HMAX) model was studied firstly. Then an improved contour detection algorithm based on HMAX model and non-classical receptive field inhibition was proposed and implemented. The HMAX model possesses the advantage of basic visual cortex functional structure. This compensates the oversimple shortcoming of biological visual structure, which the non-classical receptive inhibition contour detection algorithm is based on. The performance of the proposed algorithm is compared with Canny operators and non-classical receptive field inhibition contour detection algorithm. Results show that the improved algorithm can effectively increase the accuracy of contour detection.

Key words: computer applications, contour detection, non-classical receptive field, inhibition, hierarchical model and X(HMAX) model

CLC Number: 

  • TP391


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