INSPECTION OF DEFECTIVE PRINTED CIRCUIT BOARDS USING IMAGE PROCESSING
dc.contributor.author | Kaur, Beant | |
dc.contributor.author | Kaur, Amandeep | |
dc.contributor.author | Kaur, Gurmeet | |
dc.date.accessioned | 2018-01-08T07:17:35Z | |
dc.date.accessioned | 2024-08-14T05:05:59Z | |
dc.date.available | 2018-01-08T07:17:35Z | |
dc.date.available | 2024-08-14T05:05:59Z | |
dc.date.issued | 2017 | |
dc.description.abstract | The goal of this paper is to present the inspection of defective Printed Circuit boards with the help of image processing. As Image processing is an important and useful toolbox in these days. Printed circuit boards (PCBs) are the fundamental component of electronic devices. The performance of the electronics product depends on the quality of PCBs. The defects detection (if any) in the first stage of manufacturing process (on bare PCB) reduces the overall manufacturing cost of PCBs. In this paper, defects detection on bare PCB images is presented using different image processing techniques. | en_US |
dc.identifier.citation | Kaur, Beant., Kaur, Amandeep & Kaur, Gurmeet (2017) Inspection of Defective printed circuit boards using image processing., Indian Journal of Computer Science and Engineering. 8(2) | en_US |
dc.identifier.issn | Print- 2231-3850 | |
dc.identifier.issn | Online- 0976-5166 | |
dc.identifier.uri | https://kr.cup.edu.in/handle/32116/513 | |
dc.language.iso | en_US | en_US |
dc.publisher | Indian Journal of Computer Science and Engineering (IJCSE) | en_US |
dc.subject | PCBs | en_US |
dc.subject | image subtraction | en_US |
dc.subject | coefficient | en_US |
dc.subject | histogram | en_US |
dc.subject | entropy | en_US |
dc.subject | mean square error | en_US |
dc.subject | peak signal to noise ratio | en_US |
dc.subject | similarity structural index measure | en_US |
dc.title | INSPECTION OF DEFECTIVE PRINTED CIRCUIT BOARDS USING IMAGE PROCESSING | en_US |
dc.type | Article | en_US |