Fabric defect detection using image processing

Fabric defect detection using image processing
Defect Detection in Fabric using Image Processing Technique

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The content of the project:
1. IEEE standard reference paper
2. PowerPoint presentation
3. Screenshots
4. Software
5. Source code
6. Videos
7. ReadMe document to guide.

ABSTRACT:
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.
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