Image segmentation through a multithresholding based on gray-level co-occurrence

Pornphan Dulyakarn; Punya Thitimajshima; Yuttapong Rangsanseri

doi:10.1117/12.386605

30 May 2000 Image segmentation through a multithresholding based on gray-level co-occurrence

Pornphan Dulyakarn, Punya Thitimajshima, Yuttapong Rangsanseri

Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386605
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia

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.

Citation Download Citation

Pornphan Dulyakarn, Punya Thitimajshima, and Yuttapong Rangsanseri "Image segmentation through a multithresholding based on gray-level co-occurrence", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386605

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