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A Hybrid Approach for Detection and Classification of the Defects on Printed Circuit Board
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 121 - Number 12 |
| Year of Publication: 2015 |
| Authors: Swagata Ray, Joydeep Mukherjee |
10.5120/21595-4691
|
Swagata Ray, Joydeep Mukherjee . A Hybrid Approach for Detection and Classification of the Defects on Printed Circuit Board. International Journal of Computer Applications. 121, 12 ( July 2015), 42-48. DOI=10.5120/21595-4691
Abstract
Printed Circuit Board (PCB) is the most important component of the electronic industry and thus, the electronic mass-production facilities make an attempt to achieve Printed Circuit Board with 100% quality assurance. To achieve Printed Circuit Board with 100% quality assurance i. e. to produce zero-defect Printed Circuit Board, inspection method is the vital process during manufacturing of PCB. This paper presents the Hybrid approach which helps in producing zero-defect PCB by detecting the defects. This approach not only detects the defect but also classifies and locates the defects. The hybrid approach uses referential and non-referential methods to analyze the Printed Circuit Board and this approach proposed an algorithm which involves Image Representation, Image Comparison, and Image Segmentation. The algorithm was tested with mass number of images of Printed Circuit Board. The experimental result shows that higher quality assurance is obtained than the previously implemented algorithms.
References
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