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Texture Classification Using Complete Texton Matrix

Y.Sowjanya Kumari, V. Vijaya Kumar, Ch. Satyanarayana
2017 International Journal of Image Graphics and Signal Processing  
This paper presents a complete image feature representation, based on texton theory proposed by Julesz's, called as a complete texton matrix (CTM)for texture image classification.  ...  The present descriptor can be viewed as an improved version of texton cooccurrence matrix (TCM) [1] and Multi-texton histogram (MTH) [2] .  ...  The TCM approach constructed a co-occurrence matrix on final texton image and utilized energy, contrast, entropy and homogeneity parameters to describe image features for image retrieval. final texton  ... 
doi:10.5815/ijigsp.2017.10.07 fatcat:pjuokm77nnfcvhuzvmmx6v6bry

Effective Image Representation using Double Colour Histograms for Content-Based Image Retrieval

Ezekiel Mensah Martey, Hang Lei, Xiaoyu Li, Obed Appiah
2021 Informatica (Ljubljana, Tiskana izd.)  
The novel descriptor has been widely tested on four standard image datasets, namely Batik, Coil100, Corel10K and Outext. Batik, Coil100 and Outext are used to assess texture discrimination.  ...  This presented technique is designed to capture the colour and texture information of the image. The colour properties of an image are represented by CCH and that of texture by SCH.  ...  Textons have been applied in a variety of ways, such as seen in Multi-Texton Histogram (MTH) [18] , Texton Co-occurrence Matrix (TCM) [19] , Complete Texton Matrix (CTM) [20] and Complete Multi Texton  ... 
doi:10.31449/inf.v45i7.3715 fatcat:hxgonrrhijhmzcbmpejad7lgzi

Texture Analysis with Shape Co-occurrence Patterns

Gang Liu, Gui-Song Xia, Wen Yang, Liangpei Zhang
2014 2014 22nd International Conference on Pattern Recognition  
To this aim, we first learn a set of co-occurrence patterns of shapes from texture images, then establish a bag-of-words model on the learned shape co-occurrence patterns (SCOPs), and finally use the resulted  ...  To our knowledge, this is the first time to use co-occurrence patterns of explicit shapes as a tool for texture analysis.  ...  ACKNOWLEDGMENT The authors would like to thank Stephane Mallat, who kindly shares us with his scattering transform texture analysis codes. This work was partially founded by NSFC project No.91338113.  ... 
doi:10.1109/icpr.2014.288 dblp:conf/icpr/LiuXYZ14 fatcat:wxvbthpjbfbcnl73kd6clvzumi

Color and cross diagonal symmetric pair co-occurrence matrix

B Srinivas, NTU Kakinada
2020 Indian Journal of Science and Technology  
The relationship is derived using XOR and AND logical functions. Findings: This study derived a unique six bit code and constructed a co-occurrence matrix. The GLCM features are derived on this.  ...  To reduce the complexity, this study also derived another descriptor by indexing the six bit code using the rotational invariant property.  ...  The first texture descriptor is named as cross and diagonal symmetric pair co-occurrence matrix (CDSP-CM).  ... 
doi:10.17485/ijst/v13i27.712 fatcat:oktis556afcr5dl42cbo4api4y

Image retrieval based on micro-structure descriptor

Guang-Hai Liu, Zuo-Yong Li, Lei Zhang, Yong Xu
2011 Pattern Recognition  
The results demonstrate that it is much more efficient and effective than representative feature descriptors, such as Gabor features and multi-textons histogram, for image retrieval. Crown  ...  This paper presents a simple yet efficient image retrieval approach by proposing a new image feature detector and descriptor, namely the micro-structure descriptor (MSD).  ...  There are some algorithms that combine color and texture features together, such as the integrative co-occurrence matrix [12] , texton co-occurrences matrix [13] , multi-texton histogram (MTH) [4] ,  ... 
doi:10.1016/j.patcog.2011.02.003 fatcat:oa3avqw72vh4boi5h2kniulh2a

Texture representations using subspace embeddings

Xiaodong Yang, YingLi Tian
2013 Pattern Recognition Letters  
In natural texture images, textons are entangled with multiple factors, such as rotation, scaling, viewpoint variation, illumination change, and non-rigid surface deformation.  ...  We observe that texture representations based on subspace embeddings have strong resistance to image deformations, meanwhile, are more distinctive and more compact than traditional representations.  ...  Extensive experiments in texture classification and retrieval have image detectors and descriptors.  ... 
doi:10.1016/j.patrec.2013.03.009 pmid:23710105 pmcid:PMC3661301 fatcat:7ov4pht3wnf6vfbmfrwe7oh3im

A sparse texture representation using local affine regions

S. Lazebnik, C. Schmid, J. Ponce
2005 IEEE Transactions on Pattern Analysis and Machine Intelligence  
The proposed approach is evaluated in retrieval and classification tasks using the entire Brodatz database and a publicly available collection of 1000 photographs of textured surfaces taken from different  ...  This pattern is captured in an affine-invariant fashion via a process of shape normalization followed by the computation of two novel descriptors, the spin image and the RIFT descriptor.  ...  We also wish to thank Andrew Zisserman and Manik Varma for many useful discussions, and the anonymous reviewers for their constructive comments that have helped us to improve this article.  ... 
doi:10.1109/tpami.2005.151 pmid:16119265 fatcat:5o7tvb6fmbahndeajg5jrzddgm

Superpixel-based class-semantic texton occurrences for natural roadside vegetation segmentation

Ligang Zhang, Brijesh Verma
2017 Machine Vision and Applications  
occurrence matrix.  ...  In this paper, we present a novel approach that generates class-semantic color-texture textons and aggregates superpixel based texton occurrences for vegetation segmentation in natural roadside images.  ...  In [15] , RGB, HLS, and Lab color channels and co-occurrence matrix based texture features were fused for outdoor scene analysis.  ... 
doi:10.1007/s00138-017-0833-7 fatcat:yn5t7jdnqzberepmzwlnh22g34

Hybrid Genetic Algorithm for Medical Image Feature Extraction and Selection

G. Nagarajan, R.I. Minu, B. Muthukumar, V. Vedanarayanan, S.D. Sundarsingh
2016 Procedia Computer Science  
The term hybrid is used as this system can be used to retrieve any kind of medical image such as breast cancer, brain tumour, lung cancer, thyroid cancer and so on.  ...  In the third phase to improve the performance of the hybrid content based medical image retrieval system diverse density based relevance feedback method is used.  ...  For each AI determine the grey level co-occurrences matrix of size (8x8) for eight grey levels. The resultant matrix would be: 5. X(AI) = X(AI1 AI2 AI3 AI4 AI5) 6 .  ... 
doi:10.1016/j.procs.2016.05.192 fatcat:yjhqunxonndphnc2mrwgjp5gny

Content-Based Image Retrieval Features: A Survey

Anum Masood, Muhammad Alyas Shahid, Muhammad Sharif
2018 International journal of advanced networking and applications  
Content-Based Image Retrieval (CBIR) systems have been used for the searching of relevant images in various research areas. In CBIR systems features such as shape, texture and color are used.  ...  Texture features have been used for images of documents, segmentation-based recognition,and satellite images.  ...  The common texture analysis algorithms are Gray-Level Co-occurrence matrix (GLCM), Gabor filters, LBP with Rotation Invariance, Local Binary Patterns (LBP), LBP with Contrast Measures, LM 3-D Textons  ... 
doi:10.35444/ijana.2018.100111 fatcat:m7epi7eyinesrlakzafksospnq

A Survey on Image Analysis based on Texture

Suresha M, Harisha Naik T
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
Texture classification is used in various pattern recognition applications. This paper contains survey on numerous techniques for texture description and different types of texture images.  ...  For the datasets, Brodatz and SIPI texture dataset is the most popularly used dataset despite it being old and with limited samples, other datasets are less used.  ...  Contrast, entropy and energy include commonly used texture features extracted from the co-occurrence matrix.  ... 
doi:10.23956/ijarcsse/v7i6/0324 fatcat:632gxfogojejrhuhwvl27rjwc4

From BoW to CNN: Two Decades of Texture Representation for Texture Classification [article]

Li Liu, Jie Chen, Paul Fieguth, Guoying Zhao, Rama Chellappa, Matti Pietikainen
2018 arXiv   pre-print
Texture is a fundamental characteristic of many types of images, and texture representation is one of the essential and challenging problems in computer vision and pattern recognition which has attracted  ...  Given this period of remarkable evolution, this paper aims to present a comprehensive survey of advances in texture representation over the last two decades.  ...  Other local region detectors have also been used for texture description, such as the Scale Descriptors which measure the scales of salient textons [95] .  ... 
arXiv:1801.10324v2 fatcat:4thizanm2jemvbno7bz5etsrue

Content-Based Image Retrieval Using Texture Color Shape and Region

Syed Hamad, Arif Iqbal, Saeeda Naz, Noor ul, Muhammad Imran, Bandar AlHaqbani
2016 International Journal of Advanced Computer Science and Applications  
Images are represented by certain features to facilitate accurate retrieval of the required images. These features include Texture, Color, Shape and Region.  ...  It is a hot research area and researchers have developed many techniques to use these feature for accurate retrieval of required images from the databases.  ...  This area of CBIR systems is a hot research area with huge potential for research and development of better image retrieval techniques.  ... 
doi:10.14569/ijacsa.2016.070156 fatcat:cbw54h5nezdhtc3rvrzrksqvku

PathMiner: A Web-Based Tool for Computer-Assisted Diagnostics in Pathology

Lin Yang, O. Tuzel, Wenjin Chen, P. Meer, G. Salaru, L.A. Goodell, D.J. Foran
2009 IEEE Transactions on Information Technology in Biomedicine  
" databases that exhibit spectral and spatial profiles consistent with a given query image.  ...  The PathMiner system supports networkbased submission of queries and can automatically locate and retrieve digitized pathology specimens along with correlated molecular studies of cases from "ground-truth  ...  In addition to shape, texture is also used for content-based image retrieval. The calculation of texture feature vector (the texton histogram) will be described in detail in the next section.  ... 
doi:10.1109/titb.2008.2008801 pmid:19171530 pmcid:PMC3683402 fatcat:xyflo5sr75cjzkr4pgl6dqbu6u

3D surface texture analysis of high‐resolution normal fields for facial skin condition assessment

Alassane Seck, Hannah Dee, William Smith, Bernard Tiddeman
2019 Skin research and technology  
The use of high-resolution normal maps as input to our texture measures enables us to investigate the 3D nature of texture, while retaining aspects of some well-known 2D texture measures.  ...  Our results demonstrate an improvement on state-of-the-art methods for the analysis of pores and comparable results to the state of the art for wrinkles and acne using a considerably more compact model  ...  This result in 9 levels upon which the co-occurrence matrix is constructed.  ... 
doi:10.1111/srt.12793 pmid:31562658 pmcid:PMC7079178 fatcat:shi7ddhzhfayvh4kx4v3zh4mbm
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