Edge Detection Using the Bhattacharyya Distance with Adjustable Block Space

Jiho Yoon, Chulhee Lee

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


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.

Original languageEnglish
JournalIS and T International Symposium on Electronic Imaging Science and Technology
Issue number10
Publication statusPublished - 2020 Jan 26
Event18th Image Processing: Algorithms and Systems Conference, IPAS 2020 - Burlingame, United States
Duration: 2020 Jan 262020 Jan 30

Bibliographical note

Publisher Copyright:
© 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
  • Software
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics


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