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

摘要

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 result 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 alos given.