Increasing the discrimination power of the co-occurrence matrix-based features

Authors:
A. Gelzinis;A. Verikas;M. Bacauskiene
Affiliations:
Department of Applied Electronics, Kaunas University of Technology, Studentu 50, LT-3031, Kaunas, Lithuania;Department of Applied Electronics, Kaunas University of Technology, Studentu 50, LT-3031, Kaunas, Lithuania and Intelligent Systems Laboratory, Halmstad University, Box 823, S 301 18 Halmstad, Swe ...;Department of Applied Electronics, Kaunas University of Technology, Studentu 50, LT-3031, Kaunas, Lithuania
Venue:
Pattern Recognition
Year:
2007

Citing 7
Cited 8

Multichannel Texture Analysis Using Localized Spatial Filters

IEEE Transactions on Pattern Analysis and Machine Intelligence
Markov Random Field Models for Unsupervised Segmentation of Textured Color Images

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

IEEE Transactions on Pattern Analysis and Machine Intelligence
Outex - New Framework for Empirical Evaluation of Texture Analysis Algorithms

ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Towards a computer-aided diagnosis system for vocal cord diseases

Artificial Intelligence in Medicine
Textured image segmentation using autoregressive model and artificial neural network

Pattern Recognition
Texture classification and segmentation using wavelet frames

IEEE Transactions on Image Processing

A feature selection technique for generation of classification committees and its application to categorization of laryngeal images

Pattern Recognition
Screening Paper Runnability in a Web-Offset Pressroom by Data Mining

ICDM '09 Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects
Combining image, voice, and the patient's questionnaire data to categorize laryngeal disorders

Artificial Intelligence in Medicine
Supporting image retrieval framework with rule base system

Knowledge-Based Systems
Screening web breaks in a pressroom by soft computing

Applied Soft Computing
Phase congruency-based detection of circular objects applied to analysis of phytoplankton images

Pattern Recognition
A survey of appearance models in visual object tracking

ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
A new matching strategy for content based image retrieval system

Applied Soft Computing

Quantified Score

Hi-index	0.01

Visualization

Abstract

This paper is concerned with an approach to exploiting information available from the co-occurrence matrices computed for different distance parameter values. A polynomial of degree n is fitted to each of 14 Haralick's coefficients computed from the average co-occurrence matrices evaluated for several distance parameter values. Parameters of the polynomials constitute a set of new features. The experimental investigations performed substantiated the usefulness of the approach.