TY - JOUR
T1 - Corner Detection Using Multi-directional Gabor Filters
AU - Jianhua Wei & Xiangnan Kong
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.