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A Study on the Effect of Thresholding Enhancement for the Classification of Texture Images

Publication Type : Journal Article

Source : Journal of The Institution of Engineers (India): Series BVolume 103, Issue 1, Pages 29 - 37 February 2022

Url : https://www.scopus.com/record/display.uri?eid=2-s2.0-85107799884&origin=resultslist

Campus : Coimbatore

School : School of Engineering

Department : Mathematics

Year : 2022

Abstract : This work presents a study on the effect of photometric enhancement for the classification of texture images. The work compares the performance of image classification before and after enhancement using weighted thresholding enhancement technique. Weighted thresholding enhancement techniques are implemented using arithmetic sequence as weights on chosen sets of images. The features are extracted from wavelet packet coefficients of the chosen images for classification purpose. The study of the proposed work reveals that the weighted thresholding enhancement techniques based on arithmetic sequence improves the performance of classification of texture images. © 2021, The Institution of Engineers (India).

Cite this Research Publication : Sony, Osheima, Palanisamy T. Paramanathan P. "A Study on the Effect of Thresholding Enhancement for the Classification of Texture Images" Journal of The Institution of Engineers (India): Series BVolume 103, Issue 1, Pages 29 - 37February 2022

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