Multi-level pixel-based texture classification through efficient prototype selection via normalized cut

Authors:
Jaime Melendez;Domenec Puig;Miguel Angel Garcia
Affiliations:
Intelligent Robotics and Computer Vision Group, Department of Computer Science and Mathematics, Rovira i Virgili University, Av. Paisos Catalans 26, 43007 Tarragona, Spain;Intelligent Robotics and Computer Vision Group, Department of Computer Science and Mathematics, Rovira i Virgili University, Av. Paisos Catalans 26, 43007 Tarragona, Spain;Department of Informatics Engineering, Autonomous University of Madrid, Francisco Tomas y Valiente 11, 28049 Madrid, Spain
Venue:
Pattern Recognition
Year:
2010

Citing 41
Cited 3

Multichannel Texture Analysis Using Localized Spatial Filters

IEEE Transactions on Pattern Analysis and Machine Intelligence
An assembly neural network for texture segmentation

Neural Networks
Learning Texture Discrimination Masks

IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Features for Browsing and Retrieval of Image Data

IEEE Transactions on Pattern Analysis and Machine Intelligence
Filtering for Texture Classification: A Comparative Study

IEEE Transactions on Pattern Analysis and Machine Intelligence
A texture thesaurus for browsing large aerial photographs

Journal of the American Society for Information Science - Special topic issue: artificial intelligence techniques for emerging information systems applications
Normalized Cuts and Image Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
Self-Organizing Maps

Self-Organizing Maps
Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons

International Journal of Computer Vision
An Optimal Graph Theoretic Approach to Data Clustering: Theory and Its Application to Image Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns

IEEE Transactions on Pattern Analysis and Machine Intelligence
Support Vector Machines for Texture Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence
X-means: Extending K-means with Efficient Estimation of the Number of Clusters

ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Textons, Contours and Regions: Cue Integration in Image Segmentation

ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Mean Shift Based Clustering in High Dimensions: A Texture Classification Example

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Video Google: A Text Retrieval Approach to Object Matching in Videos

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
A Sparse Texture Representation Using Local Affine Regions

IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Categorization by Learned Universal Visual Dictionary

ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Scalable Recognition with a Vocabulary Tree

CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Texture classification and segmentation using wavelet packet frame and Gaussian mixture model

Pattern Recognition
Supervised texture classification by integration of multiple texture methods and evaluation windows

Image and Vision Computing
Unsupervised segmentation of natural images via lossy data compression

Computer Vision and Image Understanding
Universal and Adapted Vocabularies for Generic Visual Categorization

IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient distance-based per-pixel texture classification with Gabor wavelet filters

Pattern Analysis & Applications - Special Issue: Non-parametric distance-based classification techniques and their applications
Randomized Clustering Forests for Image Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence
Color-texture segmentation using unsupervised graph cuts

Pattern Recognition
Latent mixture vocabularies for object categorization and segmentation

Image and Vision Computing
Supervised Learning of Quantizer Codebooks by Information Loss Minimization

IEEE Transactions on Pattern Analysis and Machine Intelligence
Dominant local binary patterns for texture classification

IEEE Transactions on Image Processing
EdgeFlow: a technique for boundary detection and image segmentation

IEEE Transactions on Image Processing
Texture classification using logical operators

IEEE Transactions on Image Processing
Active contours without edges

IEEE Transactions on Image Processing
Comparison of texture features based on Gabor filters

IEEE Transactions on Image Processing
Texture classification using spectral histograms

IEEE Transactions on Image Processing
Integrated active contours for texture segmentation

IEEE Transactions on Image Processing
Hierarchical Stochastic Image Grammars for Classification and Segmentation

IEEE Transactions on Image Processing
Adaptive Segmentation of Textured Images by Using the Coupled Markov Random Field Model

IEEE Transactions on Image Processing
SVD-Based Modeling for Image Texture Classification Using Wavelet Transformation

IEEE Transactions on Image Processing
Statistical Properties of Bit-Plane Probability Model and Its Application in Supervised Texture Classification

IEEE Transactions on Image Processing
Color and texture descriptors

IEEE Transactions on Circuits and Systems for Video Technology

Scalable image quality assessment with 2D mel-cepstrum and machine learning approach

Pattern Recognition
Salient object detection using content-sensitive hypergraph representation and partitioning

Pattern Recognition
Supervised texture classification using a novel compression-based similarity measure

ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics

Quantified Score

Hi-index	0.01

Visualization

Abstract

This paper presents a new efficient technique for supervised pixel-based classification of textured images. A prototype selection algorithm that relies on the normalized cut criterion is utilized for automatically determining a subset of prototypes in order to characterize each texture class at the local level based on the outcome of a multichannel Gabor filter bank. Then, a simple minimum distance classifier fed with the previously determined prototypes is used to classify every image pixel into one of the given texture classes. Multi-sized evaluation windows following a top-down approach are used during classification in order to improve accuracy near frontiers of regions of different texture. Results with standard Brodatz, VisTex and MeasTex compositions and with complex real images are presented and discussed. The proposed technique is also compared with alternative texture classifiers.