ANN Approach for Classification of Different Origin Fabric Images

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...

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Bibliographic Details
Published in:International journal of image, graphics and signal processing graphics and signal processing, 2019-12, Vol.11 (12), p.29-38
Main Authors: Anami, Basavaraj S, Elemmi, Mahantesh C
Format: Article
Language:English
Subjects:
Animals
Classification
Image classification
Minerals
Online Access:Get full text
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Description
Summary: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.
ISSN:2074-9074
2074-9082
DOI:10.5815/ijigsp.2019.12.04