A Multi-Class Fisher Linear Discriminant Approach for the Improvement in the Accuracy of Complex Texture Discrimination
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1 citations
Cites background or methods from "A Multi-Class Fisher Linear Discrim..."
...Gabor filter-based texture segmentation using classic classifiers is reported in [3, 11, 13, 20, 22, 23, 24]....
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...According to the literature reviewed here for the past three decades, it is found that texture benchmark images are not yet degraded with noise before segmentation [3, 8, 9, 13, 14, 17, 19, 20, 21, 22, 23, 24]....
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References
75 citations
"A Multi-Class Fisher Linear Discrim..." refers methods in this paper
...Experimentation and Results The proposed algorithm is exhaustively tested on five databases [14, 18] viz....
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...Kiechle M et al [22] performed unsupervised texture segmentation using Mumford-Shah model on Prague texture database benchmark images [14, 22]....
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66 citations
"A Multi-Class Fisher Linear Discrim..." refers background or methods in this paper
...5108 © 2019 The Author (s); Helix E-ISSN: 2319-5592; P-ISSN: 2277-3495 5109 © 2019 The Author (s); Helix E-ISSN: 2319-5592; P-ISSN: 2277-3495 The texture segmentation using Gabor filters and Markov Random Field Modeling [1, 7, 21, 22, 23, 27, 28, 35, 36] by different researchers has been reviewed in the second section of the paper....
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...The algorithm provides computationally and theoretically simple approach for the segmentation of highly complex textures using Gabor filters [5, 6] and iterative multiclass Fisher discriminant compared to segmentation of textures performed using Markov Random Fields [7, 22, 28, 36]....
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...5109 © 2019 The Author (s); Helix E-ISSN: 2319-5592; P-ISSN: 2277-3495 The texture segmentation using Gabor filters and Markov Random Field Modeling [1, 7, 21, 22, 23, 27, 28, 35, 36] by different researchers has been reviewed in the second section of the paper....
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...The approach elaborated in this paper uses Gabor filters [3, 4, 5, 6, 9, 10, 20, 24, 25, 28, 29, 31, 36] for feature extraction, which is a slightly improved version of the algorithm proposed in [5]....
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...These include feature extraction using co-occurrence matrices [15, 30], feature extraction using Gabor filters [5, 6] and Markov random field modeling [1, 21, 23, 28, 36]....
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51 citations
"A Multi-Class Fisher Linear Discrim..." refers background or methods in this paper
...Outex texture database, Brodatz textures, Vistex textures, Prague textures and Pertex texture database [18, 22]....
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...Brodatz texture database has 112 images with a size of 640x640 [18]....
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...Experimentation and Results The proposed algorithm is exhaustively tested on five databases [14, 18] viz....
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...This database contains some textures with good diversity, some with similarity, but some textures are inhomogeneous [18]....
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47 citations
"A Multi-Class Fisher Linear Discrim..." refers background or methods in this paper
...5108 © 2019 The Author (s); Helix E-ISSN: 2319-5592; P-ISSN: 2277-3495 5109 © 2019 The Author (s); Helix E-ISSN: 2319-5592; P-ISSN: 2277-3495 The texture segmentation using Gabor filters and Markov Random Field Modeling [1, 7, 21, 22, 23, 27, 28, 35, 36] by different researchers has been reviewed in the second section of the paper....
[...]
...These include feature extraction using co-occurrence matrices [15, 30], feature extraction using Gabor filters [5, 6] and Markov random field modeling [1, 21, 23, 28, 36]....
[...]
...5109 © 2019 The Author (s); Helix E-ISSN: 2319-5592; P-ISSN: 2277-3495 The texture segmentation using Gabor filters and Markov Random Field Modeling [1, 7, 21, 22, 23, 27, 28, 35, 36] by different researchers has been reviewed in the second section of the paper....
[...]
38 citations