BibTeX:

@article{IJIRSTV5I11011,
     title={Defect Detection and Classification in Fabric using Image Processing Technique},
     author={Shalaka Subhash Patil and Dr. V. T. Gaikwad},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={5},
     number={11},
     pages={40--45},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV5I11011.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

We cannot imagine a world without textile. Quality control is an important feature in the textile industry. This paper proposes an approach to recognize fabric defects in textile industry for minimizing production cost and time since the work of inspectors is very tedious and consumes time and cost. Wastage reduction through accurate and early stage detection of defects in fabrics is also an important aspect of quality improvement. The investment in automated fabric defect detection is more than economical when reduction in labour cost and associated benefits are considered. The inspection of real fabric defects is particularly challenging due to the large number of fabric defect classes which are characterized by their vagueness and ambiguity. So this is the automated online detection of weaving defects by computerized system based on image processing technique software which is an effective and accurate approach to automatic defect detection.

Image Processing, Defect detection, Quality Control, Fabric defect