Multi-dimensional edge detection operators

Sungwook Youn, Chulhee Lee

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

1 Citation (Scopus)

Abstract

In remote sensing, modern sensors produce multi-dimensional images. For example, hyperspectral images contain hundreds of spectral images. In many image processing applications, segmentation is an important step. Traditionally, most image segmentation and edge detection methods have been developed for one-dimensional images. For multidimensional images, the output images of spectral band images are typically combined under certain rules or using decision fusions. In this paper, we proposed a new edge detection algorithm for multi-dimensional images using secondorder statistics. First, we reduce the dimension of input images using the principal component analysis. Then we applied multi-dimensional edge detection operators that utilize second-order statistics. Experimental results show promising results compared to conventional one-dimensional edge detectors such as Sobel filter.

Original languageEnglish
Title of host publicationSatellite Data Compression, Communications, and Processing X
PublisherSPIE
ISBN (Print)9781628410617
DOIs
Publication statusPublished - 2014 Jan 1
EventSatellite Data Compression, Communications, and Processing X - Baltimore, MD, United States
Duration: 2014 May 82014 May 9

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9124
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherSatellite Data Compression, Communications, and Processing X
CountryUnited States
CityBaltimore, MD
Period14/5/814/5/9

Fingerprint

edge detection
Edge Detection
Edge detection
operators
Operator
Statistics
Image segmentation
Principal component analysis
Mathematical operators
Remote sensing
Image processing
Fusion reactions
Detectors
Sensors
Decision Fusion
Hyperspectral Image
statistics
Order Statistics
Image Segmentation
Remote Sensing

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Youn, S., & Lee, C. (2014). Multi-dimensional edge detection operators. In Satellite Data Compression, Communications, and Processing X [912407] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9124). SPIE. https://doi.org/10.1117/12.2052684
Youn, Sungwook ; Lee, Chulhee. / Multi-dimensional edge detection operators. Satellite Data Compression, Communications, and Processing X. SPIE, 2014. (Proceedings of SPIE - The International Society for Optical Engineering).
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Youn, S & Lee, C 2014, Multi-dimensional edge detection operators. in Satellite Data Compression, Communications, and Processing X., 912407, Proceedings of SPIE - The International Society for Optical Engineering, vol. 9124, SPIE, Satellite Data Compression, Communications, and Processing X, Baltimore, MD, United States, 14/5/8. https://doi.org/10.1117/12.2052684

Multi-dimensional edge detection operators. / Youn, Sungwook; Lee, Chulhee.

Satellite Data Compression, Communications, and Processing X. SPIE, 2014. 912407 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9124).

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

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Youn S, Lee C. Multi-dimensional edge detection operators. In Satellite Data Compression, Communications, and Processing X. SPIE. 2014. 912407. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.2052684