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Fabric defect detection using linear filtering and morphological operations

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Authentication Code dc
 
Title Statement Fabric defect detection using linear filtering and morphological operations
 
Added Entry - Uncontrolled Name Çelik, H İbrahim
Dülger, L Canan
Topalbekiroğlu, Mehmet
 
Uncontrolled Index Term Denim fabric; Fabric defect detection;Image processing; Linear filtering; Morphological operation; Neural network
 
Summary, etc. <p class="Abstract">An algorithm with linear filters and morphological operations has been proposed for automatic fabric defect detection. The algorithm is applied off-line and real-time to denim fabric samples for five types of defects. All defect types have been detected successfully and the defective regions are labeled. The defective fabric samples are then classified by using feed forward neural network method. Both defect detection and classification application performances are evaluated statistically. Defect detection performance of real time and off-line applications are obtained as 88% and 83% respectively. The defective images are classified with an average accuracy rate of 96.3%.</p>
 
Publication, Distribution, Etc. Indian Journal of Fibre & Textile Research (IJFTR)
2014-12-05 15:55:22
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/IJFTR/article/view/7466
 
Data Source Entry Indian Journal of Fibre & Textile Research (IJFTR); ##issue.vol## 39, ##issue.no## 3 (2014): Indian Journal of Fibre & Textile Research
 
Language Note en