Skip to content

Automated fabric defect detection system using Python and OpenCV. Applies grayscale conversion, Gaussian blur, Otsu thresholding, and morphological operations to identify defects like holes, stains, and misweaves. Lightweight, cost-effective, and ideal for textile quality inspection.

Notifications You must be signed in to change notification settings

tharindu-SA20/Fabric-defect-detection-Image-Processing

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Automated fabric defect detection system using Python and OpenCV. Applies grayscale conversion, Gaussian blur, Otsu thresholding, and morphological operations to identify defects like holes, stains, and misweaves. Lightweight, cost-effective, and ideal for textile quality inspection.

About

Automated fabric defect detection system using Python and OpenCV. Applies grayscale conversion, Gaussian blur, Otsu thresholding, and morphological operations to identify defects like holes, stains, and misweaves. Lightweight, cost-effective, and ideal for textile quality inspection.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages