TY  - JOUR
T1  - Textile Fabric Defect Detection Based on Selective Wavelet Approximation
AU - Sivabalan, K.N. AU - Gnanadurai, D. 
JO  - Asian Journal of Information Technology
VL  - 12
IS  - 8
SP  - 266
EP  - 272
PY  - 2013
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2013.266.272
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2013.266.272
KW  - Wavelet
KW  -segmentation
KW  -texture
KW  -approximation
KW  -edges
AB  - The applications of Visual Inspection System is used in commercial 
  and industry like a wide spectrum. There are many algorithms propounded for 
  defect detection in textile fabrics. This research work is related with such 
  an algorithm of identifying defects in textile fabric. In this study, researchers 
  have used wavelets for eliminating the texture background of the images for 
  isolating the defects. Later an algorithm is deployed based on pixel homogeneity 
  and intensity variation to segment the defects. This is one of the algorithm 
  which identifies the texture defects based on non texture techniques. The algorithm 
  is suitable for high texture background images. The results of the algorithm 
  is compared with Morphological Analysis Method and wavelet Reconstruction Method. 
  The algorithm is capable of detecting any broken edges in the fabric pattern.
ER  -