Dissimilarity analysis of signal processing methods for texture classification

Qaiser, Naeem; Hussain, Mutawarra; Hussain, Amir; Iqbal, Nabeel; Qaiser, Nadeem

Abstract

As observed from the literature survey, there is no commonly accepted quantitative definition of visual texture. As a consequence, researchers seeking a quantitative texture measure have been forced to search intuitively for texture features, and then attempt to evaluate their performance by different techniques. Dissimilarity analysis is one of the main requirements from the classifier design point of view and provides information of significant importance regarding feature extraction and selection strategies. This paper explores several texture features of historical and practical significance and presents their comprehensive dissimilarity analysis. An improved post processing scheme has also been proposed for Law's filter based feature extraction technique. Results, validated through dissimilarity measures, show a considerable improvement over existing scheme.

Citation

Qaiser, N., Hussain, M., Hussain, A., Iqbal, N., & Qaiser, N. (2006). Dissimilarity analysis of signal processing methods for texture classification. In 2005 Pakistan Section Multitopic Conference. https://doi.org/10.1109/INMIC.2005.334512

• Conference Name: 2005 Pakistan Section Multitopic Conference
• Conference Location: Karachi, Pakistan
• Start Date: Dec 24, 2005
• End Date: Dec 25, 2005
• Online Publication Date: Mar 19, 2007
• Publication Date: 2006
• Deposit Date: Oct 16, 2019
• Publisher: Institute of Electrical and Electronics Engineers
• Book Title: 2005 Pakistan Section Multitopic Conference
• ISBN: 0-7803-9429-1
• DOI: https://doi.org/10.1109/INMIC.2005.334512
• Keywords: feature extraction, filtering theory, image classification, image texture
• Public URL: http://researchrepository.napier.ac.uk/Output/1793629