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.
|Title of host publication||ICINCO 2017 - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics|
|Editors||Oleg Gusikhin, Kurosh Madani|
|Number of pages||4|
|Publication status||Published - 2017|
|Event||14th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2017 - Madrid, Spain|
Duration: 2017 Jul 26 → 2017 Jul 28
|Name||ICINCO 2017 - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics|
|Other||14th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2017|
|Period||17/7/26 → 17/7/28|
Bibliographical notePublisher Copyright:
© 2017 by SCITEPRESS - Science and Technology Publications, Lda. All Rights Reserved.
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
- Control and Systems Engineering