Norazlina , Ahmad and Marizan, Sulaiman and Muhamad Khairi, Aripin (2011) Quality inspection of engraved image using based matching approach. In: 2011 4th International Conference on Mechatronics (ICOM), 17-19 May 2011, Kuala Lumpur, Malaysia. (Submitted)
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Quality inspection of engraved image using based matching approach254.pdf Download (664kB) |
Abstract
The role of machine vision system as a vital component for quality control mainly in manufacturing process cannot be denied. The system is developed to overcome the discrepancy from human vision and illumination changes. This paper proposes shape-based vision algorithm, a hierarchical template-matching approach that implemented in flexible manufacturing system to verify the quality of engraved image. Color and gray scale charged couple device (CCD) cameras are used to acquire engraved image for different kind of environment. The engraved image is preprocessed using image processing technique. Region of interest (ROI) is then selected and digitized into gray level to extract the contour of the object using segmentation technique. The extracted contour is used as template for object recognition during matching process. Several objects are engraved on the acrylic souvenir bases with different color background to test the algorithm. This experiment result shows that the algorithm works better with detection rate of 100% and matching accuracy of more than 98%. The approach can be applied in packaging, pharmacy, education, medical or any other areas which apply shape in their application.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | engraved image;shape-based matching;segmentatio; flexible manufacturing system |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Electrical Engineering |
| Depositing User: | Noor Rahman Jamiah Jalil |
| Date Deposited: | 29 Oct 2015 08:12 |
| Last Modified: | 29 Oct 2015 08:12 |
| URI: | http://eprints.utem.edu.my/id/eprint/15147 |
| Statistic Details: | View Download Statistic |
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