Fabric Inspection using Gradient Space and its Energy
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Date
2015-11-27T06:59:40Z
Authors
Asha, V
Bhajantri, N U
Nagabhushan, P
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Abstract
In this paper, we propose a machine vision algorithm for fabric inspection in patterned textures with the help of gradient space obtained using Newton’s forward difference scheme and its energy. Gradient space image is obtained from the input defective image and is split into several blocks of size same as that of the
periodic unit of the input defective image. Energy of the gradient
space image is used as input feature space for identifying defective and non defective periodic blocks using Ward’s hierarchical clustering. Experiments on real fabric images with defects show that the proposed method can be used for automatic detection of fabric
defects in textile industries
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Keywords
Cluster, defect, energy, gradient spac, periodicity