Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Bhajantri N. U."'
Publikováno v:
Journal of Intelligent Systems, Vol 20, Iss 3, Pp 279-303 (2011)
Defect detection is a major concern in quality control of various products in industries. This paper presents two different machine-vision based methods for detecting defects on periodically patterned textures. In the first method, input defective im
Externí odkaz:
https://doaj.org/article/7bca53ed97bd44ca9aa9377bd2206df1
In this paper, we propose a machine vision algorithm for automatically detecting defects in patterned textures with the help of gradient space and its energy. Experiments on real fabric images with defects show that the proposed method can be used fo
Externí odkaz:
http://arxiv.org/abs/1403.2031
Periodicity of a texture is one of the important visual characteristics and is often used as a measure for textural discrimination at the structural level. Knowledge about periodicity of a texture is very essential in the field of texture synthesis a
Externí odkaz:
http://arxiv.org/abs/1311.3808
Publikováno v:
CCIS 157, Computer Networks and Intelligent Computing, Part 9, pp. 548-553, Springer-Verlag, Berlin Heidelberg, 2011
In this paper, we propose a machine vision algorithm for automatically detecting defects in textures belonging to 16 out of 17 wallpaper groups using texture-periodicity and a family of Gabor wavelets. Input defective images are subjected to Gabor wa
Externí odkaz:
http://arxiv.org/abs/1212.1329
Publikováno v:
IJCVR, Vol. 2, No. 4, 2011, pp. 302-313
Chi-square histogram distance is one of the distance measures that can be used to find dissimilarity between two histograms. Motivated by the fact that texture discrimination by human vision system is based on second-order statistics, we make use of
Externí odkaz:
http://arxiv.org/abs/1212.0383
Autor:
Sidram, M. H., Bhajantri, N. U.
Publikováno v:
Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012; 2014, p547-555, 9p
Akademický článek
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Publikováno v:
Journal of Information Processing Systems; Jun2012, Vol. 8 Issue 2, p359-374, 16p