A Multi-Class Fisher Linear Discriminant Approach for the Improvement in the Accuracy of Complex Texture Discrimination
Citations
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
37 citations
"A Multi-Class Fisher Linear Discrim..." refers background or methods in this paper
...center frequencies and orientations with reduced computational complexity [9, 10, 20, 24, 25, 29, 31]....
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...The algorithm proposed in this paper is based on optimal configuration of Gabor filter for texture segmentation presented in [6, 9] for feature extraction....
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...Dunn Dennis and Higgins WE [9, 10] proposed supervised texture segmentation of an image consisting of two textures separated by a straight boundary using Gabor filters....
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...The widely used feature extraction approach for textures is multichannel filtering performed using Gabor filters [4, 5, 6, 9, 10, 20]....
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...The literature survey clearly indicates that many researchers used Gabor filter for feature extraction with non-optimal parameters [9, 10, 20, 24, 25, 29, 31]....
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23 citations
"A Multi-Class Fisher Linear Discrim..." refers background or methods in this paper
...The state-of-the-art algorithms include the one proposed by Kiechle M et al [22]....
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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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...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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...Outex texture database, Brodatz textures, Vistex textures, Prague textures and Pertex texture database [18, 22]....
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...(FSEG), Regression based Segmentation RS, Texture Fragmentation and Reconstruction (TFR), 3D Auto Regressive Model (AR3D), Gaussian Markov Random Field with Expectation Maximization GMRF+EM, Texture Segmentation by Weighted Aggregation (SWA) and Texel-Based Segmentation (TS) [22]....
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14 citations
"A Multi-Class Fisher Linear Discrim..." refers background or methods in this paper
...The literature survey clearly indicates that many researchers used Gabor filter for feature extraction with non-optimal parameters [9, 10, 20, 24, 25, 29, 31]....
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...and Chatterji BN [25] performed unsupervised texture segmentation using Gabor filters....
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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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...center frequencies and orientations with reduced computational complexity [9, 10, 20, 24, 25, 29, 31]....
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11 citations
Additional excerpts
...texture feature extraction, texture segmentation, texture classification, texture synthesis and shape from textures [32]....
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9 citations
"A Multi-Class Fisher Linear Discrim..." refers background or methods in this paper
...This section describes contributions of different researchers to texture segmentation and image segmentation approaches performed using Gabor filters and Markov random field (MRF) over the past twenty-eight years in a chronological order....
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...Yu Q and Clausi DA [34, 35] proposed an MRF based segmentation algorithm for highly non-stationary images....
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...The second category in the literature survey includes texture segmentation using optimal Gabor filter parameters and Fisher discriminant [5,6] and segmentation of texture and sea ice synthetic aperture radar (SAR) images using a model-based approach based on MRF [7, 28, 34, 35]....
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...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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...Some of the researchers used a computationally expensive and theoretically complex approach using MRF for the segmentation of textures and other images [7, 28, 34, 35]....
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