A Review of Detection of Structural Variability in Textiles using Image Processing and Computer Vision
Author(s):
Prof.(Dr.) P. A. Khatwani , Sarvajanik College of Engg. Tech., Surat.; Prof. K. S. Desai, Sarvajanik College of Engg. & Tech., SuratKeywords:
Automatic Fabric Defect Inspection, Fabric Defect, Quality, Quality ControlAbstract:
As a result of globalization & also increasing competition, it has become very important for any industry to develop solutions regarding the quality of products. Effective monitoring and control, better data predictions, quick response to query is necessary for effective Quality Control. For a long time the fabric defects inspection process is still carried out with human visual inspection. However, they cannot detect more than 60% of the overall defects for the fabric if it is moving at a faster rate and thus the process becomes insufficient and costly. Therefore, automatic fabric defect inspection is required to reduce the cost and time waste caused by defects. Studies have been carried out in this area, where in different inspection systems for detection of defects and properties of fibers, yarns and fabrics have been looked upon. The purpose of this paper is to categorize and describe the same. In this paper an attempt has been made to present the survey on these different inspection systems for detection of defects and properties in various areas of textiles and its role in the overall quality control.
Other Details:
| Manuscript Id | : | J4RV1I12025 |
| Published in | : | Volume : 1, Issue : 12 |
| Publication Date | : | 01/03/2016 |
| Page(s) | : | 46-50 |
