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Title: Fabric Defect Detection Using Digital Image Processing
Authors: Bhargava, Shubham
Dewan, Shirin
Arora, Abhinav
Gupta, Pragya [Guided by]
Keywords: HSV image
Erossion process
Issue Date: 2017
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: The goal of this project is to recognize faults in fabrics. The textile industry, as with any industry today, is extremely worried with quality. It ought to create the most noteworthy quality merchandise in the briefest measure of time conceivable. Texture faults or deformities are in charge of about 85% of the imperfections found by the producers, while they recoup just 45 to 65 % of their benefits from seconds or off-quality merchandise. It is basic, hence, to recognize, to distinguish, and to keep these imperfections from reoccurring. There are very techniques used to identify defects. The first is Image Enhancement. It implies upgrading the visual appearance of an image and giving "better" contribution for other computerized image processing techniques. The principle objective of image improvement is to modify attributes of an image to make it more appropriate for a given errand. 10
Appears in Collections:B.Tech. Project Reports

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