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Exploring Cross-Channel Texture Correlation for Color Texture Classification

Xianbiao Qi, Yu Qiao, Chun-Guang Li, Jun Guo
2013 Procedings of the British Machine Vision Conference 2013  
This paper proposes a novel approach to encode cross-channel texture correlation for color texture classification task.  ...  Firstly, we quantitatively study the correlation between different color channels using Local Binary Pattern (LBP) as the texture descriptor and using Shannon's information theory to measure the correlation  ...  Mutual information is an effective method to characterize the correlation between variables. It provides an effective measure to characterize the mutual dependence of the two random variables.  ... 
doi:10.5244/c.27.97 dblp:conf/bmvc/QiQLG13a fatcat:6i5as6brsbavpl4r3x6t4zoywy

SYNTHETIC APERTURE SONAR IMAGES SEGMENTATION USING DYNAMICAL MODELING ANALYSIS

Luis Américo Conti, Murilo Baptista
2013 Revista Brasileira de Geofisica  
It also showed potential to classify image sub-patterns based on the textural characteristics of the seabed.  ...  We developed an approach for the description of sonar images where the pixels distribution can be transformed into points in the symbolic space in a similar way as symbolic space can encode a trajectory  ...  We would also like to acknowledge the support of NATO Under Sea Research Centre for providing a set of declassified SAS images gathered by NURC.  ... 
doi:10.22564/rbgf.v31i3.315 fatcat:idm4wg6vkjgzvlpat4uffew2c4

Directional multiscale statistical modeling of images

Duncan D. Po, Minh N. Do, Michael A. Unser, Akram Aldroubi, Andrew F. Laine
2003 Wavelets: Applications in Signal and Image Processing X  
In texture retrieval, it shows improvements in performance over wavelet methods for various oriented textures. * Recently, a modified version of the contourlet scheme that is critically sampled was developed  ...  We begin with a detail study of the statistics of the contourlet coefficients of natural images, using histogram estimates of the marginal and joint distributions, and mutual information measurements to  ...  This pattern is consistent over all images studied, and is particularly evident for highly textured images such as "Barbara."  ... 
doi:10.1117/12.506412 fatcat:qkw4uqrfyrgflavglbwri3wgrm

Evaluation of texture registration by epipolar geometry

Ioan Cleju, Dietmar Saupe
2010 The Visual Computer  
Finally, using the proposed framework, we evaluated a texture registration algorithm based on mutual information, and found that its accuracy was under half-pixel.  ...  For evaluation of texture registration with ground truth, accurate datasets can be obtained with a complex setup consisting of calibrated geometry and texture capture devices.  ...  Acknowledgements This research was carried out while the first author was member of the DFG Research Training Group Explorative Analysis and Visualization of Large Information Spaces at the University  ... 
doi:10.1007/s00371-010-0427-0 fatcat:yfhyiut375ebdc4amixaaqfic4

Directional multiscale modeling of images using the contourlet transform

D.D.-Y. Po, M.N. Do
2006 IEEE Transactions on Image Processing  
In texture retrieval, it shows improvements in performance over wavelet methods for various oriented textures.  ...  We begin with a detailed study on the statistics of the contourlet coefficients of natural images, using histogram estimates of the marginal and joint distributions, and mutual information measurements  ...  Meanwhile, a large coefficient in "Goldhill" is most likely due to its texture. Textures usually have similar directional patterns over relatively large areas of space.  ... 
doi:10.1109/tip.2006.873450 pmid:16764285 fatcat:4iwa6cuh3feqljz3eyfkmwc4pu

Input Textural Feature Selection By Mutual Information For Multispectral Image Classification

Mounir Ait Kerroum, Ahmed Hammouch, Driss Aboutajdine
2010 Zenodo  
This work investigates the effectiveness of two Mutual Information Feature Selector (MIFS) algorithms to select salient textural features that contain highly discriminatory information for multispectral  ...  Texture information plays increasingly an important role in remotely sensed imagery classification and many pattern recognition applications.  ...  The color space (r,g,y) is often used in color modeling and in pattern recognition.  ... 
doi:10.5281/zenodo.1074842 fatcat:goac3zbbmbhdzpe2ceiukyae4a

Statistical Texture Analysis

G. N. Srinivasan, G. Shobha
2019 Zenodo  
This paper presents an overview of the methodologies and algorithms for statistical texture analysis of 2D images.  ...  Methods for digital-image texture analysis are reviewed based on available literature and research work either carried out or supervised by the authors.  ...  Since most textures involve patterns with certain degree of selfsimilarity at different scales, fractal metrics could provide measures of these patterns for texture description.  ... 
doi:10.5281/zenodo.3607778 fatcat:pgilaly6wvdqtajqd65hs6wqba

Integrating Dimension Reduction and Out-of-Sample Extension in Automated Classification of Ex Vivo Human Patellar Cartilage on Phase Contrast X-Ray Computed Tomography

Mahesh B. Nagarajan, Paola Coan, Markus B. Huber, Paul C. Diemoz, Axel Wismüller, Qinghui Zhang
2015 PLoS ONE  
Different textural approaches have been previously investigated for characterizing chondrocyte organization on PCI-CT to enable classification of healthy and osteoarthritic cartilage.  ...  patterns.  ...  The following individuals are also acknowledged for their assistance with this work: Dr. Christian Glaser for his intellectual support, Dr.  ... 
doi:10.1371/journal.pone.0117157 pmid:25710875 pmcid:PMC4339581 fatcat:4bilc3yv6jdyblxsppm5qw4tca

Image Information Mining System Evaluation Using Information-Theoretic Measures

Herbert Daschiel, Mihai Datcu
2005 EURASIP Journal on Advances in Signal Processing  
the last decade, the exponential increase of multimedia and remote sensing image archives, the fast expansion of the world wide web, and the high diversity of users have yielded concepts and systems for  ...  successful content-based image retrieval and image information mining.  ...  For Landsat TM images, the minimum information is given for texture at lowest scale.  ... 
doi:10.1155/asp.2005.2153 fatcat:lrtuvxsh2zgddi3nzpyy3wnzdy

Towards efficient automated characterization of irregular histology images via transformation to frieze-like patterns

Brian A. Canada, Georgia K. Thomas, Keith C. Cheng, James Z. Wang, Yanxi Liu
2008 Proceedings of the 2008 international conference on Content-based image and video retrieval - CIVR '08  
A number of methods have been proposed for the automated characterization of histology images, most of which rely on the extraction of texture features used for classifier training.  ...  We show that the reduced dimensionality of the patterns may allow them to be characterized with greater efficiency and accuracy than by previous methods of image analysis, which in turn enables potentially  ...  ACKNOWLEDGMENTS Brian Canada (corresponding author) contributed the proposed methods and was responsible for the manuscript writing.  ... 
doi:10.1145/1386352.1386437 dblp:conf/civr/CanadaTCWL08 fatcat:f3jfv2375fexro3n7erxxhibxu

Experiments in colour texture analysis

A. Drimbarean, P.F. Whelan
2001 Pattern Recognition Letters  
We also investigate the eect of using dierent colour spaces and the contribution of colour and texture features separately and collectively.  ...  Three relevant approaches to grey scale texture analysis, namely local linear transforms, Gabor ®ltering and the co-occurrence approach are extended to colour images.  ...  Acknowledgements The authors would like to thank the referees for their helpful suggestions.  ... 
doi:10.1016/s0167-8655(01)00058-7 fatcat:vthriby5hnclzkh2dll37lgnji

Unsupervised Texture Classification And Segmentation

V.P.Subramanyam Rallabandi, S.K.Sett
2007 Zenodo  
When applied to textures, the algorithm can learn basis functions for images that capture the statistically significant structure intrinsic in the images.  ...  We apply this technique to the problem of unsupervised texture classification and segmentation.  ...  The FD extracts roughness information from images considering all available scales at once. Scale features are combined with multiple-scale features for a more complete textural representation.  ... 
doi:10.5281/zenodo.1332180 fatcat:gx6hru6j7bbejeferxj4aqpame

Efficient data mining for local binary pattern in texture image analysis

Jin Tae Kwak, Sheng Xu, Bradford J. Wood
2015 Expert systems with applications  
Local binary pattern (LBP) is a simple gray scale descriptor to characterize the local distribution of the grey levels in an image.  ...  Multi-resolution LBP and/or combinations of the LBPs have shown to be effective in texture image analysis. However, it is unclear what resolutions or combinations to choose for texture analysis.  ...  Both the relevance and redundancy are characterized in terms of mutual information as follows: (11) (12) where I(x; y) represent the mutual information of two variables x and y, S is a feature set,  ... 
doi:10.1016/j.eswa.2015.01.055 pmid:25767332 pmcid:PMC4353407 fatcat:lg7q2ymburh6paugoc4hdk2aly

Statistical Texture Analysis [chapter]

Fumiaki Tomita, Saburo Tsuji
1990 Computer Analysis of Visual Textures  
This paper presents an overview of the methodologies and algorithms for statistical texture analysis of 2D images.  ...  Methods for digital-image texture analysis are reviewed based on available literature and research work either carried out or supervised by the authors.  ...  Since most textures involve patterns with certain degree of selfsimilarity at different scales, fractal metrics could provide measures of these patterns for texture description.  ... 
doi:10.1007/978-1-4613-1553-7_2 fatcat:jhz7av4nwfd35ejiv7t7hzsnri

Display Optimization For Image Browsing [chapter]

Qi Tian, Baback Moghaddam, Thomas S. Huang
2001 Lecture Notes in Computer Science  
The original high dimensional feature space is projected on the 2-D screen based on Principle Component Analysis (PCA).  ...  The resulting layout will automatically display the mutual similarities of the viewed images.  ...  Texture refers to the visual pattern with properties of homogeneity that do not result from the presence of a single color or intensity [3] .  ... 
doi:10.1007/3-540-44819-5_14 fatcat:6xi4rymka5a5laqcth2terampy
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