ANN Approach for Classification of Different Origin Fabric Images
Автор: Basavaraj S. Anami, Mahantesh C. Elemmi
Журнал: International Journal of Image, Graphics and Signal Processing @ijigsp
Статья в выпуске: 12 vol.11, 2019 года.
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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.
Morphology, Plant origin, Animal origin, Mineral origin, Feature extraction, ANN
Короткий адрес: https://sciup.org/15017056
IDR: 15017056 | DOI: 10.5815/ijigsp.2019.12.04
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