Volume 8, Issue 3
Corner Detection Using Multi-directional Gabor Filters

Jianhua Wei & Xiangnan Kong

Journal of Fiber Bioengineering & Informatics, 8 (2015), pp. 615-624.

Published online: 2015-07

Preview Purchase PDF 0 1640
Export citation
  • Abstract

Exploiting the characteristics of corner, an information entropy-based corner detection algorithm using the multi-directional Gabor filters is proposed in this paper. Different from the methods which detect corners by analyzing plane curve contour shape or finding for local maxima of curvature, the proposed method combines with the gray level changing information at edge contour pixels and pixels around the contour pixels to find corner . Firstly, the Canny edge operator is used to extract edge map and the gaps in the edge map are filled. Secondly, the imaginary parts of Gabor filters are used to smooth the edge pixels and their surrounding pixels along multi-directions. Finally, the gradient direction information entropy at the edge pixels is used to detect corners. Experimental results show that the proposed algorithm attains better detection performance, higher localization accuracy and noise robustness than the existing several algorithms.

  • Keywords

Corner Detection Imaginary Parts of the Gabor Filter Gradient Direction Information Entropy

  • AMS Subject Headings

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address
  • BibTex
  • RIS
  • TXT
@Article{JFBI-8-615, author = {}, title = {Corner Detection Using Multi-directional Gabor Filters}, journal = {Journal of Fiber Bioengineering and Informatics}, year = {2015}, volume = {8}, number = {3}, pages = {615--624}, abstract = {Exploiting the characteristics of corner, an information entropy-based corner detection algorithm using the multi-directional Gabor filters is proposed in this paper. Different from the methods which detect corners by analyzing plane curve contour shape or finding for local maxima of curvature, the proposed method combines with the gray level changing information at edge contour pixels and pixels around the contour pixels to find corner . Firstly, the Canny edge operator is used to extract edge map and the gaps in the edge map are filled. Secondly, the imaginary parts of Gabor filters are used to smooth the edge pixels and their surrounding pixels along multi-directions. Finally, the gradient direction information entropy at the edge pixels is used to detect corners. Experimental results show that the proposed algorithm attains better detection performance, higher localization accuracy and noise robustness than the existing several algorithms.}, issn = {2617-8699}, doi = {https://doi.org/10.3993/jfbim00110}, url = {http://global-sci.org/intro/article_detail/jfbi/4743.html} }
TY - JOUR T1 - Corner Detection Using Multi-directional Gabor Filters JO - Journal of Fiber Bioengineering and Informatics VL - 3 SP - 615 EP - 624 PY - 2015 DA - 2015/07 SN - 8 DO - http://doi.org/10.3993/jfbim00110 UR - https://global-sci.org/intro/article_detail/jfbi/4743.html KW - Corner Detection KW - Imaginary Parts of the Gabor Filter KW - Gradient Direction Information Entropy AB - Exploiting the characteristics of corner, an information entropy-based corner detection algorithm using the multi-directional Gabor filters is proposed in this paper. Different from the methods which detect corners by analyzing plane curve contour shape or finding for local maxima of curvature, the proposed method combines with the gray level changing information at edge contour pixels and pixels around the contour pixels to find corner . Firstly, the Canny edge operator is used to extract edge map and the gaps in the edge map are filled. Secondly, the imaginary parts of Gabor filters are used to smooth the edge pixels and their surrounding pixels along multi-directions. Finally, the gradient direction information entropy at the edge pixels is used to detect corners. Experimental results show that the proposed algorithm attains better detection performance, higher localization accuracy and noise robustness than the existing several algorithms.
Jianhua Wei & Xiangnan Kong. (2019). Corner Detection Using Multi-directional Gabor Filters. Journal of Fiber Bioengineering and Informatics. 8 (3). 615-624. doi:10.3993/jfbim00110
Copy to clipboard
The citation has been copied to your clipboard