INFORMATION CHANGE THE WORLD

International Journal of Image, Graphics and Signal Processing(IJIGSP)

ISSN: 2074-9074 (Print), ISSN: 2074-9082 (Online)

Published By: MECS Press

IJIGSP Vol.11, No.12, Dec. 2019

ANN Approach for Classification of Different Origin Fabric Images

Full Text (PDF, 1513KB), PP.29-38


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Author(s)

Basavaraj S. Anami, Mahantesh C. Elemmi

Index Terms

Morphology, Plant origin, Animal origin, Mineral origin, Feature extraction, ANN.

Abstract

This paper focuses on classification of varieties of plants’, animals’ and minerals’ origin fabric materials from images. The morphological operations, namely, erosion and dilation are used. ANN classifier is used to predict the classification rates and the rates of 89%, 87% and 88% are obtained for plants’, animals’ and minerals’ origin fabric images respectively. The overall classification rate of 88% is obtained. 

Cite This Paper

Basavaraj S. Anami, Mahantesh C. Elemmi, " ANN Approach for Classification of Different Origin Fabric Images", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.11, No.12, pp. 29-38, 2019.DOI: 10.5815/ijigsp.2019.12.04

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