Authors:
Yongsung Cheon
and
Chulhee Lee
Affiliation:
Yonsei University, Korea, Republic of
Keyword(s):
Bhattacharyya Distance, Colour Edge Detection, Multi-dimensional Edge Detection.
Related
Ontology
Subjects/Areas/Topics:
Image Processing
;
Informatics in Control, Automation and Robotics
;
Robotics and Automation
;
Vision, Recognition and Reconstruction
Abstract:
In this paper, we propose to apply the multi-dimensional edge detection algorithm developed for hyperspectral images to colour image edge detection. The multi-dimensional edge detection algorithm utilizes the Bhattacharyya distance and considers the statistical difference between two neighbouring blocks. In order to apply the algorithm to colour images, we need to take into account the singularity problem of the covariance matrices. In the algorithm, we first apply the Wiener filter to supress noise and select four block pairs including up-down, left-right, diagonal-left-down and diagonal-right-down. The experimental results show that the colour edge detection method based on the Bhattacharyya distance shows promising results compared to the results obtained by the Sobel and Canny-edge edge detection algorithms.