Exploratory Data Analysis for Textile Defect Detection
T. K. Thivakaran,
N. Priyanka,
J. Cruz Antony
et al.
Abstract:The capacity to recognize anomalies in real-world visual data is essential for many computer vision uses. New approaches and ideas in unsupervised defective garments identification require data for training and evaluation. Understanding the constraints of the currently employed approach of human inspection is crucial for improving clothing quality. Uses for digital image processing in the textile sector are suggested. This method proposes a novel quantitative measuring strategy by fusing digital image processi… Show more
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