Edge detection for hyperspectral images using the Bhattacharyya distance

Sungwook Youn, Chulhee Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In this paper, we proposed a new edge detection algorithm for hyper spectral images using the Bhattacharyya distance. First, the principal component analysis is applied to hyper spectral images and then dominant eigenimages are selected. To compute the Bhattacharyya distance, four block pairs of each pixel are extracted: up-down, left-right, diagonal-left down and diagonal-right-down. From each pair of blocks, we compute the Bhattacharyya distance, which was used as edge information. Experiments show promising results compared to the conventional Sobel filter.

Original languageEnglish
Title of host publicationProceedings - 2013 19th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2013
PublisherIEEE Computer Society
Pages716-719
Number of pages4
ISBN (Print)9781479920815
DOIs
Publication statusPublished - 2013 Jan 1
Event2013 19th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2013 - Seoul, Korea, Republic of
Duration: 2013 Dec 152013 Dec 18

Publication series

NameProceedings of the International Conference on Parallel and Distributed Systems - ICPADS
ISSN (Print)1521-9097

Other

Other2013 19th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2013
CountryKorea, Republic of
CitySeoul
Period13/12/1513/12/18

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture

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  • Cite this

    Youn, S., & Lee, C. (2013). Edge detection for hyperspectral images using the Bhattacharyya distance. In Proceedings - 2013 19th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2013 (pp. 716-719). [6808264] (Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS). IEEE Computer Society. https://doi.org/10.1109/ICPADS.2013.127