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1. Image analysis, random fields, and dynamic Monte Carlo methods
: a mathematical introduction
by Winkler, Gerhard, 1946
1995, Applications of mathematics, ISBN 9783540570691, Volume 27, xiv, 324
Monte Carlo method | Image analysis | Statistical methods | Markov random fields
Book
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2. Introduction to texture analysis
: macrotexture, microtexture, and orientation mapping
by Engler, Olaf and Randle, V. (Valerie)
2010, 2nd ed., ISBN 9781420063653, xv, 456
Texture | Analysis | Materials
Book
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3. Pattern analysis
by Niemann, Heinrich
1981, Springer series in information sciences, ISBN 9783540107927, Volume 4, xiii, 302
Pattern perception
Book
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4. Full Text Quantitative analysis of tibial subchondral bone: Texture analysis outperforms conventional trabecular microarchitecture analysis
by MacKay, James W and Murray, Philip J and Low, Samantha B. L and Kasmai, Bahman and Johnson, Glyn and Donell, Simon T and Toms, Andoni P
Journal of Magnetic Resonance Imaging, ISSN 1053-1807, 05/2016, Volume 43, Issue 5, pp. 1159 - 1170
Background The aim of this study was to compare two different methods of quantitative assessment of tibial subchondral bone in osteoarthritis (OA): statistical... 
magnetic resonance imaging (MRI) | subchondral bone | osteoarthritis | texture analysis | MARKER | QUANTIFICATION | FRACTAL SIGNATURE ANALYSIS | CLASSIFICATION | FEATURES | MINERAL DENSITY | ARTICULAR-CARTILAGE | HISTOMORPHOMETRY | RESOLUTION MR-IMAGES | KNEE OSTEOARTHRITIS | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Humans | Middle Aged | Knee Joint - diagnostic imaging | Osteoarthritis - diagnostic imaging | Tibia - diagnostic imaging | Male | Osteoarthritis, Knee - diagnostic imaging | Tibia - pathology | Discriminant Analysis | Young Adult | Magnetic Resonance Imaging | Knee Joint - pathology | Osteoarthritis, Knee - pathology | Aged, 80 and over | Adult | Arthroplasty, Replacement, Knee | Female | Aged | Osteoarthritis - pathology | Osteoarthritis | Confidence intervals
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5. Texture analysis in materials science
: mathematical methods
by Bunge, H.-J
1982, English ed., ISBN 0408106425, xx, 593
Texture (Crystallography)
Book
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6. Full Text From static to dynamic provenance analysis—Sedimentary petrology upgraded
by Garzanti, Eduardo
Sedimentary Geology, ISSN 0037-0738, 05/2016, Volume 336, pp. 3 - 13
The classical approach to sandstone petrology, established in the golden years of plate tectonics and based on the axiom that “detrital modes of sandstone... 
Sandstone petrology | Single-mineral methods | Dickinson model | Unroofing trends | Multi-mineral methods | Bulk-sediment methods | POINT-COUNTING METHOD | PLATE-TECTONICS | GRAIN-SIZE DEPENDENCE | MODERN SANDS | DETRITAL MODES | CONTINENTAL-CRUST | GEOLOGY | FLUVIAL SEDIMENTS | CHEMICAL-COMPOSITION | DIFFERENTIAL ZIRCON FERTILITY | SOUTHERN ALPS | Geochronology | Plate tectonics | Chemical weathering | Sediments (Geology) | Isotope geology | Tectonics (Geology) | Petrology | Sand | Rock | Geology | Surface layer | Geochemistry | Texture | Sandstone
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7. Quantitative texture analysis
by Bunge, H.-J and Esling, C and Clausthal Technical University. Institut für Metallkunde und Metallphysik and Université de Metz. Laboratoire de métallurgie structurale and Deutsche Gesellschaft für Metallkunde and Technische Universität Clausthal. Arbeitsstelle Weiterbildendes Studium and Société français de métallurgie and Technische Universität Clausthal. Institut für Metallkunde und Metallphysik
1986, ISBN 3883551031, v, 551
Texture (Crystallography) | Congresses
Book
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8. Full Text MaZda—A software package for image texture analysis
by Szczypiński, Piotr M and Strzelecki, Michał and Materka, Andrzej and Klepaczko, Artur
Computer Methods and Programs in Biomedicine, ISSN 0169-2607, 2008, Volume 94, Issue 1, pp. 66 - 76
Abstract MaZda, a software package for 2D and 3D image texture analysis is presented. It provides a complete path for quantitative analysis of image textures,... 
Internal Medicine | Other | Data classification | Image segmentation | Texture analysis | Feature reduction | NEURAL NETWORKS | RAT | MEDICAL INFORMATICS | MRI | ENGINEERING, BIOMEDICAL | CLASSIFICATION | MODEL | OSTEOPOROSIS | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | COMPUTER SCIENCE, THEORY & METHODS | Image Processing, Computer-Assisted | Software | Algorithms
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9. Full Text Image analysis using a dual-tree M-band wavelet transform
by Chaux, C and Duval, L and Pesquet, J.-C
IEEE Transactions on Image Processing, ISSN 1057-7149, 08/2006, Volume 15, Issue 8, pp. 2397 - 2412
We propose a two-dimensional generalization to the M-band case of the dual-tree decomposition structure (initially proposed by Kingsbury and further... 
Wavelet transforms | Noise reduction | Wavelet analysis | Discrete wavelet transforms | Image texture analysis | image denoising | Image reconstruction | Hilbert transform | Image analysis | dual-tree | wavelets | Signal processing | Direction selection | Filter bank | Signal analysis | Dual-tree | Wavelets | M-band filter banks | Image denoising | SIGNAL | DESIGN | BASES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | direction selection | SHRINKAGE | DISCRETE | LINEAR-PHASE | LATTICE STRUCTURE | FILTER BANKS | PAIRS | Algorithms | Information Storage and Retrieval - methods | Numerical Analysis, Computer-Assisted | Artificial Intelligence | Image Interpretation, Computer-Assisted - methods | Signal Processing, Computer-Assisted | Image Enhancement - methods | Pattern Recognition, Automated - methods | Hilbert space | Image processing | Noise control | Analysis | Methods | Reconstruction | Wavelet | Images | Surface layer | Decomposition | Texture | Seismic phenomena | Computation and Language | Computer Science
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10. Full Text Fractal and multifractal analysis: A review
by Lopes, R and Betrouni, N
Medical Image Analysis, ISSN 1361-8415, 2009, Volume 13, Issue 4, pp. 634 - 649
Over the last years, fractal and multifractal geometries were applied extensively in many medical signal (1D, 2D or 3D) analysis applications like pattern... 
Characterization | Fractal dimension | Multifractal spectrum | Multifractal analysis | Texture | Fractal analysis | WHITE-MATTER | MAGNETIC-RESONANCE IMAGES | ENGINEERING, BIOMEDICAL | VENTRICULAR-TACHYCARDIA | TEXTURE ANALYSIS | STRANGE ATTRACTORS | TRABECULAR BONE-STRUCTURE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | BIOMECHANICAL PROPERTIES | TIME-SERIES | OSCILLATING SINGULARITIES | DIMENSION MEASUREMENTS | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Reproducibility of Results | Algorithms | Artificial Intelligence | Image Interpretation, Computer-Assisted - methods | Sensitivity and Specificity | Imaging, Three-Dimensional - methods | Fractals | Image Enhancement - methods | Pattern Recognition, Automated - methods | Analysis
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11. Applications of texture analysis
: a collection of papers presented at the 15th International Conference on Textures of Materials (ICOTOM 15) June 1-6, 2008 Pittsburgh, Pennsylvania
2009, ISBN 9780470408353, xvii, 818
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12. Full Text p-exponent and p-leaders, Part II: Multifractal analysis. Relations to detrended fluctuation analysis
by Leonarduzzi, R and Wendt, H and Abry, P and Jaffard, S and Melot, C and Roux, S.G and Torres, M.E
Physica A: Statistical Mechanics and its Applications, ISSN 0378-4371, 04/2016, Volume 448, pp. 319 - 339
Multifractal analysis studies signals, functions, images or fields via the fluctuations of their local regularity along time or space, which capture crucial... 
[formula omitted]-exponent | Multifractal detrended fluctuation analysis | Negative regularity | Multifractal analysis | Wavelet [formula omitted]-leaders | Wavelet p-leaders | p-exponent | Multifractal analysis p-exponent | PHYSICS, MULTIDISCIPLINARY | WAVELET-BASED METHOD | TRANSFORM MODULUS-MAXIMA | PARAMETERS | TRENDS | DENSITY | TEXTURE | BOOTSTRAP | DYNAMICS | FORMALISM | LONG-RANGE CORRELATIONS | Mathematics - Classical Analysis and ODEs
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13. Full Text Changes on physico-chemical, textural, lipolysis and volatile compounds during the manufacture of dry-cured foal "cecina"
by Lorenzo, José M
Meat Science, ISSN 0309-1740, 01/2014, Volume 96, Issue 1, pp. 256 - 263
The changes in the physico-chemical and textural properties, lipolysis and volatile compounds during the manufacture of dry-cured foal "cecina" were studied.... 
Texture profile analysis | Volatile compounds | Foal dry-cured "cecina" | Physico-chemical properties | Lipolysis | LACON | FOOD SCIENCE & TECHNOLOGY | DE-LEON | TRADITIONAL MEAT PRODUCT | SOLID-PHASE MICROEXTRACTION | SENSORY CHARACTERISTICS | OXIDATIVE CHANGES | IBERIAN HAMS | PROCESSING CONDITIONS | FERMENTED SAUSAGES | SUBCUTANEOUS FAT | Gas Chromatography-Mass Spectrometry | Desiccation | Color | Volatile Organic Compounds - analysis | Stearic Acids - analysis | Linoleic Acids - analysis | Palmitic Acid - analysis | Ketones - analysis | Hydrocarbons - analysis | Esters - analysis | Animals | Aldehydes - analysis | Chemical Phenomena | Horses | Thiobarbituric Acid Reactive Substances - analysis | Meat Products - analysis | Food Handling | Oleic Acid - analysis | Lipolysis - physiology | Furans - analysis | Hydrogen-Ion Concentration | Saturated fatty acids | Production processes
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14. Texture analysis in materials science
: mathematical methods
by Bunge, H.-J
1993, 1. Aufl., ISBN 9783928815819, xx, 593
Texture (Crystallography) | Mathematics
Book
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15. Full Text Face Spoofing Detection Using Colour Texture Analysis
by Boulkenafet, Zinelabidine and Komulainen, Jukka and Hadid, Abdenour
IEEE Transactions on Information Forensics and Security, ISSN 1556-6013, 08/2016, Volume 11, Issue 8, pp. 1818 - 1830
Research on non-intrusive software-based face spoofing detection schemes has been mainly focused on the analysis of the luminance information of the face... 
Three-dimensional displays | Image color analysis | Databases | presentation attack | Face recognition | Imaging | Gray-scale | colour texture analysis | Feature extraction | Face | spoofing detection | CLASSIFICATION | COMPUTER SCIENCE, THEORY & METHODS | LIVENESS DETECTION | ENGINEERING, ELECTRICAL & ELECTRONIC | Data bases | Luminance | Colour texture | Data sets | Spoofing | Benchmarking | Computer information security | Channels
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16. Introduction to texture analysis
: macrotexture, microtexture and orientation mapping
by Randle, V. (Valerie) and Engler, Olaf
2000, ISBN 9056992244, xx, 388
Texture | Analysis | Materials
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17. Analyses of calcified structures
: texture and spacing patterns
by Friedland, K.D and Cadrin, S.X
2004, 2004/EE:02., Volume 2004/EE:02., 1 p. (Abst. only)
stock identification | pattern recognition | texture analysis
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18. Full Text Approaches to analysis and modeling texture in fresh and processed foods – A review
by Chen, Lan and Opara, Umezuruike Linus
Journal of Food Engineering, ISSN 0260-8774, 12/2013, Volume 119, Issue 3, pp. 497 - 507
Texture analysis and modeling are important techniques in food and postharvest research and industrial practice. A wide range of methods have been used to... 
Texture profile analysis | Food texture | Texture index | Texture modeling | Food quality | CONTACT ACOUSTIC-EMISSION | TOMATOES CV-TRADIRO | FOOD SCIENCE & TECHNOLOGY | MECHANICAL-PROPERTIES | GREEN TEA EXTRACT | ENGINEERING, CHEMICAL | X DOMESTICA BORKH | WARNER-BRATZLER | NEAR-INFRARED MODELS | BRATZLER SHEAR FORCE | PROFILE ANALYSIS TPA | STRESS-RELAXATION BEHAVIOR | Mathematical analysis | Surface layer | Decay | Firmness | Mathematical models | Foods | Texture | Logistics
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