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Decomposition of Dynamic Textures Using Morphological Component Analysis

Sloven Dubois, Renaud Peteri, Michel Menard
2012 IEEE transactions on circuits and systems for video technology (Print)  
After introducing a formal model for dynamic textures, the Morphological Component Analysis (MCA) approach with a well chosen dictionary is used to retrieve the components of dynamic textures.  ...  The research context of this work is dynamic texture analysis and characterization. Many dynamic textures can be modeled as large scale propagating wavefronts and local oscillating phenomena.  ...  The main contributions of this article is to present a new method for analyzing dynamic textures using the Morphological Component Analysis approach (MCA) in order to extract the underlying dynamical components  ... 
doi:10.1109/tcsvt.2011.2159430 fatcat:jdpjpqtmyve5pne3jk6o2wofti

Decomposition of Dynamic Textures Using Morphological Component Analysis: A New Adaptative Strategy

Sloven Dubois, Renaud Peteri, Michel Menard
2010 2010 20th International Conference on Pattern Recognition  
The Morphological Component Analysis algorithm (MCA) is used to retrieve these components using a well chosen dictionary.  ...  The research context of this work is dynamic texture analysis and characterization. Many dynamic textures can be modeled as a large scale propagating wave and local oscillating phenomena.  ...  In this article, the Morphological Component Analysis (MCA) is used for decomposing and analyzing image sequences of natural scenes.  ... 
doi:10.1109/icpr.2010.553 dblp:conf/icpr/DuboisPM10 fatcat:rax3bfqopvhv7evlbwpc6oyjvy

Characterization and recognition of dynamic textures based on the 2D+T curvelet transform

Sloven Dubois, Renaud Péteri, Michel Ménard
2013 Signal, Image and Video Processing  
To our best knowledge, only two works are using spatio-temporal multiscale decomposition based on tensor product for dynamic texture recognition.  ...  The research context of this article is the recognition and description of dynamic textures. In image processing, the wavelet transform has been successfully used for characterizing static textures.  ...  Fig. 5 5 Decomposition results of a dynamic texture using the Morphological Component Analysis.  ... 
doi:10.1007/s11760-013-0532-4 fatcat:3yqe7xgz7bdjhezpf33ihdp4tm

Texture modulation-constrained image decomposition

Georgios Evangelopoulos, Petros Maragos
2008 2008 15th IEEE International Conference on Image Processing  
A variational image decomposition scheme is formulated using explicit texture reconstruction constraints from the outputs of linear lters tuned to different spatial frequencies and orientations.  ...  Relevant to the texture image part information is reconstructed using modulation modeling and component selection.  ...  The texture component can be used for solving texture-depended problems (classi cation, surface analysis, shape/orientation from texture), while the structure part for feature detection, segmentation,  ... 
doi:10.1109/icip.2008.4711874 dblp:conf/icip/EvangelopoulosM08 fatcat:wrbwfxg645dwdj6s5vsvt4h7be

Spatial image polynomial decomposition with application to video classification

Redouane El Moubtahij, Bertrand Augereau, Hamid Tairi, Christine Fernandez-Maloigne
2015 Journal of Electronic Imaging (JEI)  
Recognition of dynamic textures To illustrate the efficiency of our method, we will use it in a dynamic texture classification scheme which is among challenging research themes in the image analysis field  ...  Partial reconstruction and global approximation are used to build descriptors used in a classification process of dynamic textures.  ... 
doi:10.1117/1.jei.24.6.061114 fatcat:qpmi7d2fa5h67hwzvsatfcqyre

Single-frame-based rain removal via image decomposition

Yu-Hsiang Fu, Li-Wei Kang, Chia-Wen Lin, Chiou-Ting Hsu
2011 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
on morphological component analysis (MCA).  ...  Index Terms-Rain removal, sparse coding, dictionary learning, image decomposition, morphological component analysis (MCA).  ...  In this paper, we propose a single-frame-based rain removal framework via formulating rain removal as an image decomposition problem based on morphological component analysis (MCA) [5] - [6] .  ... 
doi:10.1109/icassp.2011.5946766 dblp:conf/icassp/FuKLH11 fatcat:6oplx2dlizagvigkhij5fr4sbu

MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting

Jalal M. Fadili, Jean-Luc Starck, Michael Elad, David L. Donoho
2010 Computing in science & engineering (Print)  
Index Terms Reproducible research, sparse representations, signal and image decomposition, inpainting, Morphological Component Analysis. M.J. Fadili is with the CNRS  ...  Morphological Component Analysis (MCA) of signals and images is an ambitious and important goal in signal processing; successful methods for MCA have many far-reaching applications in science and technology  ...  , remote sensing, communication systems, etc.In [1] , [2] a novel decomposition method -Morphological Component Analysis (MCA) -based on sparse representation of signals.  ... 
doi:10.1109/mcse.2010.14 fatcat:hwp57o277vcn5pyb2bnixxa7we

Image decomposition with anisotropic diffusion applied to leaf-texture analysis [article]

Bruno Brandoli Machado, Wesley Nunes Gonçalves, Odemir Martinez Bruno
2012 arXiv   pre-print
Texture analysis is an important field of investigation that has received a great deal of interest from computer vision community.  ...  We also evaluate our approach on an important real-world application: leaf-texture analysis.  ...  The authors gratefully acknowledge the financial support of CNPq and FAPESP.  ... 
arXiv:1201.4139v1 fatcat:cqyky4al7bbudndfiuszqgopvy

Effect of Severe Plastic Deformation on Structure and Properties of Al-Sc-Ta and Al-Sc-Ti Alloys

Alla Berezina, Tetiana Monastyrska, Olexandr Davydenko, Oleh Molebny, Sergey Polishchuk
2017 Nanoscale Research Letters  
Dynamic recrystallization in the active zones was observed using TEM.  ...  The dynamic recrystallization was more intense during the non-monotonous deformation as compared with the monotonous one, which was confirmed by the reduction of texture degree in the materials after ECAH  ...  of aluminum and iron alloys" 92/14-H of the targeted complex program of basic studies of N.A.S. of Ukraine "Fundamental Problems of Nanostructured Systems, Nanomaterials, Nanotechnologies".  ... 
doi:10.1186/s11671-017-1995-y pmid:28340530 pmcid:PMC5364120 fatcat:sx2squnturdr5dlvdldlpbgguq

The regularities of the formation of carbon nanostructures from hydrocarbons based on the composition of the reaction mixture

Ilya V. Mishakov, Yuri I. Bauman, Ivan A. Streltsov, Denis V. Korneev, Olga B. Vinokurova, Aleksey A. Vedyagin
2016 Resource-efficient Technologies  
The research results clearly demonstrate that the morphology and texture of the carbon materials obtained by the decomposition of hydrocarbon mixtures depend on the composition of the reaction gas.  ...  on the morphological features and textural characteristics of the resulting carbon nanofibres (CNF).  ...  II.2 (The Fundamental Aspects of the Utilisation of C1-compounds Conjugated with Processing of Hydrocarbons into Valuable Products).  ... 
doi:10.1016/j.reffit.2016.06.004 fatcat:hz4xnnoe65bvnhzlzqe2ifb5em

Application of Wavelet Transform Method for Textile Material Feature Extraction [chapter]

Lijing Wang, Zhongmin Deng, Xungai Wang
2012 Wavelet Transforms and Their Recent Applications in Biology and Geoscience  
An energy analysis method provides important information of sub-images, which can be used to dynamically search for an optimum image decomposition scale and dynamically discriminate different features  ...  Principal component analysis (Krzanowski, 1988) was used to reduce the dimension of the texture feature vector, and generate a new set of variables, called principal components.  ...  The book also contains applications of the wavelet transforms in the analysis of data collected from sport and breast cancer.  ... 
doi:10.5772/38793 fatcat:dghplvrsrfc5zery4xdij3ooeu

Detection of Fishbones in Fish Floss Products Using Curvelet Transform Based Square-Ring Band-Highpass Filtering Techniques

Hong-Dar Lin, Chang-Yi Lin, Chou-Hsien Lin
2021 International Journal of Innovative Computing, Information and Control  
textured surfaces of fish floss products.  ...  In the making of commercial fish floss, fishbone inspection is currently conducted by experienced inspectors who use their sense of touch and sight to detect bones.  ...  Authors truthfully appreciate the Ministry of Science and Technology, Taiwan, for the financial assistance through the Grant MOST 108-2221-E-324-006.  ... 
doi:10.24507/ijicic.17.01.31 fatcat:27kesil7grgebg4qoyloiivvbe

Automatic Detection of Plant Disease and Insect Attack using EFFTA Algorithm

Kapilya Gangadharan, G. Rosline, D. Dhanasekaran, K. Malathi
2020 International Journal of Advanced Computer Science and Applications  
Further extraction of texture is considered and that can be performed by WSFTA method. It adopts intra-class analysis and inter-class analysis.  ...  SIFT is used to detect the texture feature, it extracts the set of descriptors that is very useful in local texture recognition and it captures accurate key points for detecting the diseased area.  ...  Feature Analysis The feature extraction of various images and diseases are calculated with reference to multiple texture features.  ... 
doi:10.14569/ijacsa.2020.0110221 fatcat:nkizjamwsrgd3kyvcxbtrz5eeq

Extracting Terrain Texture Features for Landform Classification Using Wavelet Decomposition

Yuexue Xu, Shengjia Zhang, Jinyu Li, Haiying Liu, Hongchun Zhu
2021 ISPRS International Journal of Geo-Information  
To obtain the appropriate analysis scale of landform structure feature, and then carry out landform classification using the terrain texture, the texture feature is introduced for reflecting landform spatial  ...  Second, through the structural indices of reconstructed texture images, the optimum decomposition scale of DWT is confirmed.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi10100658 fatcat:dpwlo2ta4zhclo3iwgcprsjcj4

Dynamic texture based smoke detection using Surfacelet transform and HMT model

Wei Ye, Jianhui Zhao, Song Wang, Yong Wang, Dengyi Zhang, Zhiyong Yuan
2015 Fire safety journal  
In experiments, existing texture descriptors of gray level cooccurrence matrix (GLCM), local binary pattern (LBP) and Wavelet are implemented and used for comparison.  ...  Parameters of the HMT model are estimated through expectation maximization algorithm, and the joint probability density is determined as the dynamic texture feature value.  ...  Secondly, texture analysis is used to extract feature vectors of images. Then the moving regions are classified as smoke or non-smoke by SVM with texture features as input.  ... 
doi:10.1016/j.firesaf.2015.03.001 fatcat:oiikqsdy6ncmdl6jbz3cakddda
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