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A Multi-Class Fisher Linear Discriminant Approach for the Improvement in the Accuracy of Complex Texture Discrimination

Sanjaykumar Kinge, B. Sheela Rani, Mukul Sutaone
2019 Helix  
Gabor filter and local statistics (local variance) are used for feature extraction of texture images. Texture segments in the image are separated using K-means clustering.  ...  This paper presents an elaborated Fisher Linear Discriminant (FLD) based semi-supervised approach for improving the accuracy of segmentation of multi-class complex fine textures.  ...  Deng H and Clausi DA [7] proposed unsupervised sea-ice and texture segmentation using Gabor filters and Markov Random fields. They used Gabor filter for feature extraction.  ... 
doi:10.29042/2019-5108-5121 fatcat:rsyje7fycrhchge3l2x6ztkrom

Feature fusion for image texture segmentation

D.A. Clausi, Huawu Deng
2004 Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.  
A design-based method to fuse Gabor filter and grey level co-occurrence probability (GLCP) features for improved texture recognition is presented.  ...  Feature space separability and unsupervised image segmentation are used for testing. The fused features are robust with respect to the curse of dimensionality and additive noise.  ...  Feature Fusion If GLCPs are preferred to Gabor filters for detecting higher frequency signals, why not use this method exclusively for texture feature extraction?  ... 
doi:10.1109/icpr.2004.1334207 dblp:conf/icpr/ClausiD04 fatcat:yvp6igk2p5atlc7tsvjn6sprzq

Design-based texture feature fusion using Gabor filters and co-occurrence probabilities

D.A. Clausi, Huang Deng
2005 IEEE Transactions on Image Processing  
A design-based method to fuse Gabor filter and grey level co-occurrence probability (GLCP) features for improved texture recognition is presented.  ...  Overall, the designed fused feature set is advocated as a means for improving texture segmentation performance.  ...  ACKNOWLEDGMENT The authors would like thank the reviewers for their contributing comments.  ... 
doi:10.1109/tip.2005.849319 pmid:16028556 fatcat:gvoybbpssvdshcxreikw7u57my

Optimized Multichannel Filter Bank with Flat Frequency Response for Texture Segmentation

Nezamoddin N. Kachouie, Javad Alirezaie
2005 EURASIP Journal on Advances in Signal Processing  
The features extracted by Gabor filters have been applied for image segmentation and analysis.  ...  This paper presents two new texture segmentation algorithms based on multichannel filtering in conjunction with neural networks for feature extraction and segmentation.  ...  GABOR FILTER BANK AND MULTICHANNEL DECOMPOSITION Considerable research has been performed using Gabor filters for texture segmentation and analysis [1, 3, 4, 9, 11] .  ... 
doi:10.1155/asp.2005.1834 fatcat:42jdulw24nfvteykfsz57kpkbm

Optimum Gabor filter design and local binary patterns for texture segmentation

Ma Li, R.C. Staunton
2008 Pattern Recognition Letters  
Texture sub-features are derived from the output of an optimized Gabor filter.  ...  Finally, a K-nearest neighbor classifier is used to effect the multi-texture segmentation.  ...  In order to improve the segmentation performance, we have employed the LBP operator described by Topi et al. (2000) as a complementary tool to extract texture features from the Gabor filtered textured  ... 
doi:10.1016/j.patrec.2007.12.001 fatcat:a33hlw5befhbfmuczw3cyh6oby

Improved Gabor Filter for Extracting Texture Edge Features in Ultrasound Kidney Images

P.R. Tamilselvi, P. Thangaraj
2010 Modern Applied Science  
This paper, design intensity invariant local image phase features, obtained using improved Gabor filter banks, for extracting edge texture features that occur at core and intermediate layer interfaces.  ...  The proposed model does the extension of phase symmetry features to modified gabor mode and their use in automatic extraction of kidney edge texture features from US normal and diseased patient images.  ...  Edges found using improved gabor filters Table 1 . 1 The measure corresponds to the classical SNR for the case of additive noise.  ... 
doi:10.5539/mas.v4n4p62 fatcat:xe55fthv6nbsnmh4ydkwr2kbzq

A Gabor Filter Texture Analysis Approach for Histopathological Brain Tumor Subtype Discrimination [article]

Omar S. Al-Kadi
2017 arXiv   pre-print
The pattern textural properties are characterised at various scales and orientations for an improved separability between the different extracted features.  ...  The Gabor filter energy output of each magnitude response was combined with four other fixed-resolution texture signatures (2 model-based and 2 statistical-based) with and without cell nuclei segmentation  ...  Gabor filter for texture analysis Image texture can also be analysed in a multiresolution representation using Gabor filters.  ... 
arXiv:1704.05122v1 fatcat:lrppkauthfdxxp5dhbmtsqkfti

Comparison of texture features based on Gabor filters

S.E. Grigorescu, N. Petkov, P. Kruizinga
2002 IEEE Transactions on Image Processing  
Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are compared.  ...  The capability of the corresponding operators to produce distinct feature vector clusters for different textures is compared using two methods: the Fisher criterion and the classification result comparison  ...  TEXTURE FEATURES BASED ON GABOR FILTERS A. Gabor Filters A number of authors used a bank of Gabor filters to extract local image features [2] , [4] - [6] , [33] .  ... 
doi:10.1109/tip.2002.804262 pmid:18249688 fatcat:pchr6swyg5c3der3wmok3t4iai

Retinal Image Segmentation by using Texture-based Gabor Filter Optimized by Gradient Descent Followed by Evolutionary Algorithm

Upendra Kumar, Omjeet Singh
2016 International Journal of Computer Applications  
This work deals with a general problem of segmentation of multi-texture images using clustering of Gabor filter output features, required to be separated in order to get better classification efficiency  ...  An attempt was made to apply texture based Gabor filter which captures the band-pass filter bank characteristics of the eye and its output was used to detect the discontinuities and derive statistical  ...  Tapobrata Lahiri, Professor, IIIT Allahabad, India for giving valuable suggestions during writing Matlab code for this work.  ... 
doi:10.5120/ijca2016911096 fatcat:bma3vgmugvd2fdklkssf3i5vhi

Font identification using the grating cell texture operator

Huanfeng Ma, David S. Doermann, Elisa H. Barney Smith, Kazem Taghva
2005 Document Recognition and Retrieval XII  
This operator is compared with the isotropic Gabor filter which was also employed for font classification.  ...  In this paper, a new feature extraction operator, the grating cell operator, is applied to analyze the texture features and classify fonts of scanned document images.  ...  Figure 1 . 1 Spatial-frequency responses of two Gabor filter banks used to extract the texture features. (a) Isotropic Gabor filter; (b) Gabor filter used for the grating cell operator.  ... 
doi:10.1117/12.586345 dblp:conf/drr/MaD05 fatcat:5tgtcaacezeqfco3nfhd5cnm6i

Medical volume segmentation using bank of Gabor filters

Adebayo Olowoyeye, Mihran Tuceryan, Shiaofen Fang
2009 Proceedings of the 2009 ACM symposium on Applied Computing - SAC '09  
The texture properties of the volume data are defined based on spatial frequencies as implemented using a statistical method known as Gabor filters.  ...  In this paper, we will present an unsupervised approach for segmenting medical volume images based on texture properties.  ...  Jain and Farrokhnia [7] implemented an unsupervised texture segmentation and classification technique for 2D images that use a bank of 2D Gabor filters.  ... 
doi:10.1145/1529282.1529458 dblp:conf/sac/OlowoyeyeTF09 fatcat:pw7gxmqmr5dlxhwebmexgkrob4

Texture Edge Detection using Multi-resolution Features and SOM

L. Gupta, S. Das
2006 18th International Conference on Pattern Recognition (ICPR'06)  
Texture boundaries or edges are useful information for segmenting a texture image.  ...  hence we used 1-D filtering that will only smear the edge in the direction of filtering.  ...  Results can further be improved by obtaining an optimal set of Gabor filter parameters. The edge information obtained by this method can be used to improve the segmentation of textures.  ... 
doi:10.1109/icpr.2006.1111 dblp:conf/icpr/GuptaD06 fatcat:ql6bb4xmbfaxjew2p5zbvfyy7u

Multiscale color invariants based on the human visual system

J.F.C. Wanderley, M.H. Fisher
2001 IEEE Transactions on Image Processing  
This paper proposes a new representation for color texture using a set of multiscale illuminant invariant features.  ...  on color angles or Gabor filters alone.  ...  They would also like to thank the reviewers for their comments and suggestions for improvements to the paper.  ... 
doi:10.1109/83.967391 pmid:18255505 fatcat:oew7jkzyhjerfkld5v2bnk3bzq

A Two-Dimensional Fault Diagnosis Model of Induction Motors using a Gabor Filter on Segmented Images

Jia Uddin, Rashedul Islam, Jong-Myon Kim, Cheol-Hong Kim
2016 International Journal of Control and Automation  
This paper proposes a fault diagnosis model using a Gabor filter on segmented two-dimensional (2D) gray-level images.  ...  The reconstructed image is segmented into a number of sub-images depending on the segment size and a Gabor filter is applied on each sub-image.  ...  These drawbacks have motivated research into a new 2D fault diagnosis model using a Gabor filter on segmented images.  ... 
doi:10.14257/ijca.2016.9.1.02 fatcat:tmepodf3pfcoxpedxzyukixvlu

Incorporating texture features in a computer-aided breast lesion diagnosis system for automated three-dimensional breast ultrasound

Haixia Liu, Tao Tan, Jan van Zelst, Ritse Mann, Nico Karssemeijer, Bram Platel
2014 Journal of Medical Imaging  
features used for the final classification.  ...  In this work, we expand the system by including texture features based on local binary patterns, gray level co-occurrence matrices, and Gabor filters computed from each lesion to be diagnosed.  ...  providing data for this study.  ... 
doi:10.1117/1.jmi.1.2.024501 pmid:26158036 pmcid:PMC4478778 fatcat:attmgqnmbveqdgvd3nn2wynxbi
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