A massively parallel architecture for a self-organizing neural pattern recognition machine
Computer Vision, Graphics, and Image Processing
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multichannel Texture Analysis Using Localized Spatial Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture segmentation with neural networks
Neural networks for signal processing
Unsupervised texture segmentation using Gabor filters
Pattern Recognition
Texture Classification by Wavelet Packet Signatures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ein distanz- und orientierungsinvariantes lernfähiges Erkennungssystem für Robotikanwendungen
Mustererkennung 1993, Mustererkennung im Dienste der Gesundheit, 15. DAGM-Symposium
Texture analysis and classification with tree-structured wavelet transform
IEEE Transactions on Image Processing
Unsupervised texture segmentation of images using tuned matched Gabor filters
IEEE Transactions on Image Processing
Texture Analysis Experiments with Meastex and Vistex Benchmarks
ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition
An approach to computational microtexture perceptual detection with management of uncertainty
Technologies for constructing intelligent systems
Grating Cell Operator Features for Oriented Texture Segmentation
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
CLAIRE: A modular support vector image indexing and classification system
ACM Transactions on Information Systems (TOIS)
Texture classification using Gabor wavelets based rotation invariant features
Pattern Recognition Letters
Fuzzy Texture Unit and Fuzzy Texture Spectrum for texture characterization
Fuzzy Sets and Systems
Distributed recursive learning for shape recognition through multiscale trees
Image and Vision Computing
Texture classification using Gabor wavelets based rotation invariant features
Pattern Recognition Letters
Supervised texture classification by integration of multiple texture methods and evaluation windows
Image and Vision Computing
Pattern Recognition Letters
Texture classification using invariant ranklet features
Pattern Recognition Letters
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Complex wavelet transform-based face recognition
EURASIP Journal on Advances in Signal Processing
Unsupervised segmentation of ultrasonic liver images by multiresolution fractal feature vector
Information Sciences: an International Journal
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Inspection of surface defects in copper strip based on machine vision
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part I
Expert Systems with Applications: An International Journal
Texture feature extraction and selection for classification of images in a sequence
IWCIA'04 Proceedings of the 10th international conference on Combinatorial Image Analysis
Inspection of surface defects in copper strip using multivariate statistical approach and SVM
International Journal of Computer Applications in Technology
Multiscale Texture Extraction with Hierarchical (BV,Gp,L2) Decomposition
Journal of Mathematical Imaging and Vision
Personalized identification of abdominal wall hernia meshes on computed tomography
Computer Methods and Programs in Biomedicine
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In recent studies on image analysis an increasing effort has been carried out in the area of wavelet transform techniques for the discrimination and classification of textural images. These methods compete with multichannel filtering techniques, especially with the nonorthogonal and incomplete Gabor filtering. In this paper we introduce two feature extraction algorithms based on pyramidal and tree structured wavelet transforms and compare their performance with the feature extraction which employs adaptive Gabor filtering. This comparison is based on the segmentation results of several texture image examples using the identical segmentation algorithm for all three feature extraction methods. The visible differences of the segmentation results are discussed and their algorithmic causes are analysed.