In this paper, we propose a new edge detection method for color images, based on the Bhattacharyya distance with adjustable block space. First, the Wiener filter was used to remove the noise as pre-processing. To calculate the Bhattacharyya distance, a pair of blocks were extracted for each pixel. To detect subtle edges, we adjusted the block space. The mean vector and covariance matrix were computed from each block. Using the mean vectors and covariance matrices, we computed the Bhattacharyya distance, which was used to detect edges. By adjusting the block space, we were able to detect weak edges, which other edge detections failed to detect. Experimental results show promising results compared to some existing edge detection methods.
|Journal||IS and T International Symposium on Electronic Imaging Science and Technology|
|Publication status||Published - 2020 Jan 26|
|Event||18th Image Processing: Algorithms and Systems Conference, IPAS 2020 - Burlingame, United States|
Duration: 2020 Jan 26 → 2020 Jan 30
Bibliographical noteFunding Information:
This research was supported in part by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2018R1D1A1B07050345) and in part by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIP) (No.R2212-15-0022).
© 2020, Society for Imaging Science and Technology
All Science Journal Classification (ASJC) codes
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Human-Computer Interaction
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics