Paper 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 2nd 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.

  Info
Periodical
Edited by
Qiancheng Zhao
Pages
717-724
DOI
10.4028/www.scientific.net/AMM.103.717
Citation
H. Shahera, S. Seiichi, "Co-Occurrence Matrix-Based Statistical Model for Texture Analysis from Images", Applied Mechanics and Materials, Vol. 103, pp. 717-724, 2012
Online since
September 2011
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