Title: Co-Occurrence Matrix-Based Statistical Model for Texture Analysis from Images
Abstract: Texture surface analysis is very important for machine vision system. We explore Gray Level Co-occurrence Matrix-based 2 nd order statistical features to understand image texture surface. We employed several features on our ground-truth dataset to understand its nature; and later employed it in a building dataset. Based on our experimental results, we can conclude that these image features can be useful for texture analysis and related fields.
Publication Year: 2011
Publication Date: 2011-09-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 1
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