Artificial Intelligence and Communication Technologies
Texture based classification of fabric material
Authors: Shubhangi Sapkale and Manoj Patil
Publishing Date: 07-01-2023
ISBN: 978-81-955020-5-9
Abstract
Fabric recognition faces several challenges due to its reliance on manual visual inspection. Early machine learning systems also rely on handcrafted features, which are time-consuming and error-prone operations. As a result, an automated fabric classification system is required to boost productivity. This study provides a system based on data gathering and transfers learning for fabric categorization and recognition. Fabric texture features are extracted using color, brightness, GLCM, and Gabor texture features, which are then classified using the K-Nearest Neighbors Classifier.
Keywords
Fabric Identification, Texture, Feature Extraction, GLCM, Gabor filter, Distance measure, K-Nearest Neighbors Classifier, Accuracy.
Cite as
Shubhangi Sapkale and Manoj Patil, "Texture based classification of fabric material", In: Saroj Hiranwal and Garima Mathur (eds), Artificial Intelligence and Communication Technologies, SCRS, India, 2023, pp. 601-611. https://doi.org/10.52458/978-81-955020-5-9-58