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Proceedings Paper

Image segmentation through a multithresholding based on gray-level co-occurrence
Author(s): Pornphan Dulyakarn; Punya Thitimajshima; Yuttapong Rangsanseri
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Paper Abstract

This paper presents an unsupervised segmentation method applicable to both gray-level and multispectral images. For the gray-level image, the segmentation is achieved by a multithresholding on a histogram derived from gray-level co- occurrence of the image. The threshold selection is performed by using Otsu algorithm on such a histogram. This method is also extended to the case of multispectral images by converting the image into a monochrome version using Karhunen-Loeve transform. The results tested on a synthetic image is illustrated by comparison with the direct application of Otsu algorithm. This method was applied on many real images, and the results are also given.

Paper Details

Date Published: 30 May 2000
PDF: 5 pages
Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386605
Show Author Affiliations
Pornphan Dulyakarn, King Mongkut's Institute of Technology Ladkrabang (Thailand)
Punya Thitimajshima, King Mongkut's Institute of Technology Ladkrabang (Thailand)
Yuttapong Rangsanseri, King Mongkut's Institute of Technology Ladkrabang (Thailand)

Published in SPIE Proceedings Vol. 4067:
Visual Communications and Image Processing 2000
King N. Ngan; Thomas Sikora; Ming-Ting Sun, Editor(s)

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