Please use this identifier to cite or link to this item:
https://ptsldigital.ukm.my/jspui/handle/123456789/476151Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Anton Satria Prabuwono, Prof. Dr. | |
| dc.contributor.author | Ehsan Golkar (P53695) | |
| dc.date.accessioned | 2023-10-06T09:14:05Z | - |
| dc.date.available | 2023-10-06T09:14:05Z | - |
| dc.date.issued | 2012-04-30 | |
| dc.identifier.other | ukmvital:74625 | |
| dc.identifier.uri | https://ptsldigital.ukm.my/jspui/handle/123456789/476151 | - |
| dc.description | Real-time visual inspection systems have improved to reach a high standard of product quality in the mass production system. This is largely driven by the fact that manufacturing industries are strongly motivated to use high precision inspection systems with low installation and maintenance cost, as well as the possibilities for reduction in time consumption and effort that they represent. This study improves ceramic tile factories’ classification of their products in terms of the investigation of the flatness on borders. Waviness problems affect the installation of ceramic tiles. Therefore, the objectives of this research are to develop an image processing algorithm to detect various defects of ceramic tile borders such as welds, blobs and cracks; to measure flatness using a best-fit polynomial without sensors or extra equipment; and to develop an image processing algorithm to measure the length of ceramic tiles. The system is comprised of two parts: the hardware and software frameworks. The hardware framework consists of a camera, a conveyor belt and light resource, while the software framework has three steps. In the first step, the pre-processing methods such as filtering and segmentation are applied. In the second step, a generic feature extraction method based on interpolation is developed for detection of surfaces defects. Finally, the Mamdani fuzzy method is applied to classify the ceramic tiles. A visual inspection system for ceramic tiles is selected to evaluate the proposed algorithm in a real experimental environment. The result shows that the maximum error in length measurement is less than 1 mm, and that the system is able to detect surface defects such as welds and blob. In addition, the algorithm could detect flatness and waviness on the border of ceramic tiles at the same time. The accuracy of surface defect detection is 97%, while for flatness detection the accuracy is 93%.,Master/Sarjana | |
| dc.language.iso | eng | |
| dc.publisher | UKM, Bangi | |
| dc.relation | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat | |
| dc.rights | UKM | |
| dc.subject | Vision | |
| dc.subject | Ceramic tile borders | |
| dc.subject | Fit polynomial method | |
| dc.subject | Image processing -- Digital techniques | |
| dc.title | Vision based flatness inspection for ceramic tile borders using best fit polynomial method | |
| dc.type | theses | |
| dc.format.pages | 79 | |
| dc.identifier.callno | TA1637.G638 2011 3 | |
| dc.identifier.barcode | 000451 | |
| Appears in Collections: | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ukmvital_74625+Source01+Source010.PDF Restricted Access | 1.91 MB | Adobe PDF |  View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.