Back to articles
Articles
Volume: 32 | Article ID: art00012
Image
Edge Detection Using the Bhattacharyya Distance with Adjustable Block Space
  DOI :  10.2352/ISSN.2470-1173.2020.10.IPAS-133  Published OnlineJanuary 2020
Abstract

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.

Subject Areas :
Views 32
Downloads 6
 articleview.views 32
 articleview.downloads 6
  Cite this article 

Jiho Yoon, Chulhee Lee, "Edge Detection Using the Bhattacharyya Distance with Adjustable Block Spacein Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Processing: Algorithms and Systems XVIII,  2020,  pp 133-1 - 133-7,  https://doi.org/10.2352/ISSN.2470-1173.2020.10.IPAS-133

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2020
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA