Performance Evaluation of Texture based Image Segmentation using GLCM

INDERPAL, SINGH (2014) Performance Evaluation of Texture based Image Segmentation using GLCM. In: International Conference on Advances in Computing, Communication and Information Technology CCIT 2014, 01 - 02 June,2014, London, UK.

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Abstract

This paper presents image segmentation and texture analysis algorithms on synthetic and real images. This research work demonstrates the considerable variability in an image understanding system performance based on different choices of image segmentation and texture analysis algorithms used. This research work includes results of a segmentation method to extract the object based on color and texture features of color images. Image segmentation denotes a process of partitioning an image into distinct regions. Based on the color segmentation result, and the texture variances between the background image and the object, we extract the object by the gray level co-occurrence matrix for texture segmentation. The GLCMs broadly represent the joint possibility of occurrence of grey-levels for pixels with a given spatial relationship in a defined region. Finally, the segmentation result is improved by mathematical morphology methods.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Image segmentation, Texture analysis and GLCM
Depositing User: Mr. John Steve
Date Deposited: 18 May 2019 12:20
Last Modified: 18 May 2019 12:20
URI: http://publications.theired.org/id/eprint/2459

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