International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 5, No. 1, 8 Jan. 2013
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Comparative Analysis of Different Fabric Defects Detection Techniques
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Author(s)
Index Terms
Machine Learning, Computer Vision, multi-layer neural networks, 3D analysis, Novelty Detection, Texture Analysis
Abstract
In last few years’ different textile companies aim to produce the quality fabrics. Major loss of any textile oriented company occurs due to defective fabrics. So the detection of faulty fabrics plays an important role in the success of any company. Till now most of the inspection is done using human visual. This way is too much time consuming, cumbersome and prone to human errors. In past, many advances are made in developing automated and computerized systems to reduce cost and time whereas, increasing the efficiency of the process. This paper aims at comparing some of these techniques on the basis of classification methods and accuracy.
Cite This Paper
Ali Javed,Mirza Ahsan Ullah,Aziz-ur-Rehman,"Comparative Analysis of Different Fabric Defects Detection Techniques", IJIGSP, vol.5, no.1, pp.40-45, 2013. DOI: 10.5815/ijigsp.2013.01.06
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