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eBook
ACM Transactions on Graphics (TOG), ISSN 0734-2071, 07/2014, Volume 33, Issue 4, pp. 1 - 8
This paper presents a novel structure-preserving image decomposition operator called bilateral texture filter . As a simple modification of the original... 
patch shift | texture smoothing | image decomposition | bilateral filter | Patch shift | Texture smoothing | Image decomposition | Bilateral filter | COMPUTER SCIENCE, SOFTWARE ENGINEERING | TONE | ENHANCEMENT | PHOTOGRAPHY | FLASH
Journal Article
Medical Physics, ISSN 0094-2405, 10/2014, Volume 41, Issue 10, pp. 101903 - n/a
Purpose: Survival for high‐grade gliomas is poor, at least partly explained by intratumoral heterogeneity contributing to treatment resistance. Radiological... 
ADC | biomedical MRI | Matrix theory | Multivariate analysis | biodiffusion | Digital computing or data processing equipment or methods, specially adapted for specific applications | Cell growth | image enhancement | Involving electronic [emr] or nuclear [nmr] magnetic resonance, e.g. magnetic resonance imaging | Diffusion | tumours | medical image processing | Image registration | Data analysis | Medical imaging | Probability theory, stochastic processes, and statistics | Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image | Analysis of texture | Spatial analysis | Biological material, e.g. blood, urine; Haemocytometers | image texture | matrix algebra | Image analysis | Magnetic resonance imaging | Image data processing or generation, in general | radiation therapy | glioma | cancer | multivariate image analysis | principal component analysis | texture analysis | DIFFUSION-WEIGHTED MRI | CONTRAST-ENHANCED MRI | PRINCIPAL COMPONENT ANALYSIS | NEWLY-DIAGNOSED GLIOBLASTOMA | FEATURES | HETEROGENEITY | MAPS FDMS | TREATMENT RESPONSE | MALIGNANT GLIOMAS | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | BRAIN | Multivariate Analysis | Prognosis | Age Factors | Follow-Up Studies | Glioma - diagnosis | Dacarbazine - therapeutic use | Humans | Image Interpretation, Computer-Assisted - methods | Middle Aged | Brain Neoplasms - pathology | Chemoradiotherapy, Adjuvant | Glioma - radiotherapy | Neoplasm Grading | Glioma - pathology | Dacarbazine - analogs & derivatives | Adult | Brain Neoplasms - radiotherapy | Principal Component Analysis | Brain Neoplasms - diagnosis | Treatment Outcome | Brain - radiation effects | Brain Neoplasms - drug therapy | Disease Progression | Antineoplastic Agents, Alkylating - therapeutic use | Brain - drug effects | Survival Analysis | Brain - pathology | Aged | Diffusion Magnetic Resonance Imaging - methods | Glioma - drug therapy | GLIOMAS | SURGERY | DIAGNOSIS | PATIENTS | IMAGE PROCESSING | NMR IMAGING | BIOLOGICAL MARKERS | RADIOTHERAPY | 60 APPLIED LIFE SCIENCES | Medical and Health Sciences | Medicin och hälsovetenskap
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 03/2012, Volume 34, Issue 3, pp. 574 - 586
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 11/2015, Volume 24, Issue 11, pp. 3488 - 3497
Journal Article
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
Journal Article
Pattern Recognition, ISSN 0031-3203, 10/2012, Volume 45, Issue 10, pp. 3834 - 3843
In this paper, a feature extraction method is developed for texture description. To obtain discriminative patterns, we present a learning framework which is... 
Local binary pattern | Feature extraction | Texture descriptors | Feature evaluation and selection | LOCAL BINARY PATTERNS | CLASSIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Anisotropy | Analysis | Databases | Facial | Classification | Images | Surface layer | Mathematical models | Texture | Invariants
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 05/2017, Volume 26, Issue 5, pp. 2338 - 2351
Journal Article
Computer Graphics Forum, ISSN 0167-7055, 05/2015, Volume 34, Issue 2, pp. 349 - 359
The goal of example‐based texture synthesis methods is to generate arbitrarily large textures from limited exemplars in order to fit the exact dimensions and... 
I.3.3 [Computer Graphics]: Picture/Image Generation—Line and curve generation | Categories and Subject Descriptors (according to ACM CCS) | COMPUTER SCIENCE, SOFTWARE ENGINEERING | IMAGE | Graphics software | Analysis | Studies | Image processing systems | Automation | Synthesis | Surface layer | Texture | Channels | Repetition | Visual | Optimization
Journal Article