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Details for article 3 of 6 found articles
| Title: |
Automated defect inspection and classification of leather fabric |
| Author: |
Choonjong Kwak José A. Ventura Karim Tofang-Sazi |
| Appeared in: |
Intelligent data analysis |
| Paging: | Volume 5 (2001) nr. 4 pages 355-370 |
| Year: |
2001-11-19 |
| Contents: |
This paper describes an automated vision system for detecting and classifying surface defects on leather fabric. In the defect inspection process, visual defects are located and reported through a two-step segmentation procedure based on thresholding and morphological processing. In the defect classification process, the system utilizes both geometric and statistical features as its feature sets; that is, a new normalized compactness measure, and first- and second-order statistical features. In an effort to maximize the classification efficiency, a three-stage sequential decision-tree classifier is adopted for the classification of five types of defects: lines, holes, stains, wears, and knots. If line defects are identified as a result of classification, they are checked by a line combination algorithm to determine if they are parts of larger line defects and, in such a case, are reported as combined line defects. Satisfactory results were achieved in the classification test with an overall accuracy of 91.25% |
| Publisher: |
IOS Press |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 3 of 6 found articles
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