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Completed Extremely Nonnegative DMD for Color Texture Classification

Mingxin Jin, Yongsheng Dong, Mingchuan Zhang, Qingtao Wu, Lintao Zheng, Bin Song, Lei Zhang, Lin Wang
2020 IEEE Access  
INDEX TERMS Color texture representation, dense micro-block difference (DMD), extremely nonnegative multiresolution, texture classification. 103034 This work is licensed under a Creative Commons Attribution  ...  To alleviate this problem, we propose a novel color texture representation method based on Completed Extremely Nonnegative DMD (CEN-DMD) in this paper.  ...  Multiresolution representation of color texture images is achieved by differential between different scales of micro-blocks. We named it Extremely Nonnegative DMD (EN-DMD).  ... 
doi:10.1109/access.2020.2998926 fatcat:yp44uzblujd4fkuz7zkzhwdjdy

A translation- and scale-invariant adaptive wavelet transform

Y.S. Moon, Tianxu Zhang, Huilin Xiong
2000 IEEE Transactions on Image Processing  
task of scale-invariant texture identification.  ...  Furthermore, as an application, we define a new textural feature in the framework of our adaptive wavelet decomposition, show its stability to shift and scaling, and demonstrate its efficiency for the  ...  for texture classification, segmentation and recognition.  ... 
doi:10.1109/83.887977 pmid:18262947 fatcat:wstv6bkkonfkbok4flzcbpsmcm

A multi-scale comparison of texture descriptors extracted from the Wavelet and Curvelet domains for small bowel tumor detection in Capsule Endoscopy exams [chapter]

D. Barbosa, J. Ramos, C. S. Lima
2009 International Federation for Medical and Biological Engineering Proceedings  
Therefore, in the present paper it is proposed a frame classification scheme, based in different combinations of texture descriptors taken at different detail levels of the Discrete Wavelet Transform and  ...  Discrete Curvelet Transform domains, in order to compare the classification performance of these multi-resolution representations of the information within the CE frames.  ...  being a multiresolution representation of the information within the image.  ... 
doi:10.1007/978-3-642-03882-2_410 fatcat:fykb5xqmxfdn5iczbd2lfjknnu

A multiresolution clinical decision support system based on fractal model design for classification of histological brain tumours

Omar S. Al-Kadi
2015 Computerized Medical Imaging and Graphics  
A clinical decision support system that exploits the subband textural fractal characteristics for best bases selection of meningioma brain histopathological image classification is proposed.  ...  Each subband is analysed using its fractal dimension instead of energy, which has the advantage of being less sensitive to image intensity and abrupt changes in tissue texture.  ...  We are concerned more with a better representation of the texture characteristics at each decomposition; therefore, this work presents an overcomplete tree-structured wavelet packet representation by omitting  ... 
doi:10.1016/j.compmedimag.2014.05.013 pmid:24962336 fatcat:ppkeqkrjh5gzxekj4ael2yf2l4

Editorial for Special Issue "Hyperspectral Imaging and Applications"

Chein-I Chang, Meiping Song, Junping Zhang, Chao-Cheng Wu
2019 Remote Sensing  
This Special Issue has accepted and published 25 papers in various areas, which can be organized into 7 categories, Data Unmixing, Spectral variability, Target Detection, Hyperspectral Image Classification  ...  Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging.  ...  Qu This paper develops a Component substitution (CS) and multiresolution analysis (MRA)-based hybrid framework based on intrinsic image decomposition and weighted least squares filter for hyperspectral  ... 
doi:10.3390/rs11172012 fatcat:c23u3rahgjhctowk5xwllt2qea

Front Matter: Volume 9643

2015 Image and Signal Processing for Remote Sensing XXI  
.  The last two digits indicate publication order within the volume using a Base 36 numbering system employing both numerals and letters.  ...  and simulated hyperspectral images [9643-20] SESSION 5 HYPERSPECTRAL IMAGE ANALYSIS II 9643 0L Low-dimensional representations of hyperspectral data for use in CRF-based classification [9643-21  ...  [9643-5] SESSION 3 IMAGE ENHANCEMENT AND FILTERING 9643 0B Multiscale statistical image destriping algorithm [9643-11] 9643 0C Noise correlation-based adaptive polarimetric image representation  ... 
doi:10.1117/12.2225976 fatcat:rvhcmbnlg5cflmftjesqzoq62m

Minimum Probability of Error Image Retrieval

N. Vasconcelos
2004 IEEE Transactions on Signal Processing  
Index Terms-Bayesian methods, color and texture, expectation-maximization, feature selection, image retrieval, image similarity, minimum probability of error, mixture models, multiresolution, optimal retrieval  ...  Minimum probability of error (MPE) is adopted as the optimality criterion and retrieval formulated as a problem of statistical classification.  ...  Index Terms-Bayesian methods, color and texture, expectation-maximization, feature selection, image retrieval, image similarity, minimum probability of error, mixture models, multiresolution, optimal retrieval  ... 
doi:10.1109/tsp.2004.831125 fatcat:2bmgag7qjjgynft2c3o7cl6v6y

A Review of Machine-Vision-Based Analysis of Wireless Capsule Endoscopy Video

Yingju Chen, Jeongkyu Lee
2012 Diagnostic and Therapeutic Endoscopy  
For example, there are radiographic projection-based images (e.g., X-rays and PET scans), tomography-based images (e.g., MRT and CT scans), and photography-based images (e.g., endoscopy, dermatology, and  ...  In order to train a machine to understand the semantics of an image, the image contents need to be translated into numerical form first. The numerical form of the image is known asimage abstraction.  ...  Semantic-based image retrieval was introduced in 2000s to create semantic content representation for images.  ... 
doi:10.1155/2012/418037 pmid:23197930 pmcid:PMC3502844 fatcat:34xe2ifqnvdm5batsjncl236bu

Content-Based Image Retrieval Using Multiresolution Color and Texture Features

Young Deok Chun, Nam Chul Kim, Ick Hoon Jang
2008 IEEE transactions on multimedia  
Index Terms-Content-based image retrieval, multiresolution representation, color and texture features. 1520-9210/$25.00  ...  In this paper, we propose a content-based image retrieval method based on an efficient combination of multiresolution color and texture features.  ...  12] , and [13] , which are used for image detection, texture analysis and classification, and image retrieval by using multiresolution analyses, respectively.  ... 
doi:10.1109/tmm.2008.2001357 fatcat:5rtqayp4m5dzzors7o6yrnjyvy

Anomaly Detection Based on Wavelet Domain GARCH Random Field Modeling

Amir Noiboar, Israel Cohen
2007 IEEE Transactions on Geoscience and Remote Sensing  
Index Terms-Anomaly detection, Gaussian Markov random field (GMRF), Generalized Autoregressive Conditional Heteroscedasticity (GARCH), image segmentation, image texture analysis, matched subspace detector  ...  , multiscale representation, object recognition.  ...  The multiresolution representation and clutter modeling based on multiscale GARCH model allow for correlation in and between layers of the multiresolution representation in addition to the GARCH characteristics  ... 
doi:10.1109/tgrs.2007.893741 fatcat:7pzvs3o6yfa2jkq44wwfpzsroi

Modeling Bidirectional Texture Functions with Multivariate Spherical Radial Basis Functions

Yu-Ting Tsai, Kuei-Li Fang, Wen-Chieh Lin, Zen-Chung Shih
2011 IEEE Transactions on Pattern Analysis and Machine Intelligence  
This paper presents a novel parametric representation for bidirectional texture functions.  ...  an intrinsic and efficient representation for heterogenous materials.  ...  v Á : ð6Þ Note that (6) is similar to many factorization-based representations for BRDFs, e.g., principal component analysis [14] and nonnegative matrix factorization [47] , but our multivariate representation  ... 
doi:10.1109/tpami.2010.211 pmid:21135438 fatcat:gy27xmnzbbgyld6alt4g4ifnee

Factorization-based Active Contour for Water-Land SAR image segmentation via the Fusion of Features

Qingxia Meng, Xianbin Wen, Liming Yuan, Haixia Xu
2019 IEEE Access  
INDEX TERMS Synthetic aperture radar (SAR), remote sensing, image segmentation, active contour, edge detector, matrix decomposition techniques, texture feature.  ...  The edge-based active contour model, proposed by Kass et al. [12] moves the explicit parametric curves to extract objects in images.  ...  There are many methods based on texture features for SAR image segmentation [25] , [26] , [37] , SAR image classification [38] and registration [39] .  ... 
doi:10.1109/access.2019.2905847 fatcat:z3xyzzgajbgtllfvsvezxogj5u

A Review of Image Denoising Methods

I. Irum, M. A. Shahid, M. Sharif, M. Raza
2015 Journal of Engineering Science and Technology Review  
Images are one of essential representations in every field like education, agriculture, geosciences, aerospace, surveillance, entertainment etc by means of electronic or print media.  ...  These methods have been categorized on the bases of techniques used.  ...  Statistical Modeling Based Image Denoising Due the sparseness property of multiresolution image representation in non-Gaussian statistics for wavelet coefficients, multiresolution image representation  ... 
doi:10.25103/jestr.085.07 fatcat:4c4f3oz3wzakhaitav3k5ktdp4

Non-decimated Complex Wavelet Spectral Tools with Applications [article]

Taewoon Kong, Brani Vidakovic
2019 arXiv   pre-print
diagnostic and classification of digital mammogram images using the fractality of digitized images of the background tissue.  ...  of classification.  ...  Phase-based Statistics for Classification Analysis In the area of Fourier representations, there is a considerable of interest about the information the phase carries about signals or images [Oppenheim  ... 
arXiv:1902.01032v1 fatcat:as7now4ixjfd7b6ry4c2k32sj4

Adaptive wavelet graph model for Bayesian tomographic reconstruction

T. Frese, C.A. Bouman, K. Sauer
2002 IEEE Transactions on Image Processing  
The parameters of this distribution are selected adaptively using nonlinear classification of coarse scale data. The nonlinear adaptation mechanism is based on a set of training images.  ...  Index Terms-Bayesian tomography, image reconstruction, wavelet-based image modeling.  ...  INTRODUCTION A MAJOR challenge for Bayesian image reconstruction methods is the design of image prior models that accurately account for edges as well as uniform and textured regions in images, yet result  ... 
doi:10.1109/tip.2002.801586 pmid:18244672 fatcat:4p2qlqpq7rhkdph34vvo7ucbsi
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