Co-Occurrence Matrix-Based Statistical Model for Texture Analysis from Images
2011 ◽
Vol 103
◽
pp. 717-724
Keyword(s):
Texture surface analysis is very important for machine vision system. We explore Gray Level Co-occurrence Matrix-based 2ndorder 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.
Keyword(s):
2012 ◽
pp. 80-85
Keyword(s):
2019 ◽
Vol 34
(05)
◽
pp. 2057002
2004 ◽
Vol 37
(7)
◽
pp. 577-588
◽
2016 ◽
Vol 12
(4)
◽
pp. 311-321
2011 ◽
Vol 10
(3)
◽
pp. 73-79
◽
Keyword(s):
2017 ◽
Vol 32
(1)
◽
pp. e22175
◽
Keyword(s):