Ibrahim, Zuwairie and Ibrahim, Ismail and Aspar, Zulfakar and Khalil, Kamal and Nawawi, Sophan Wahyudi and Abdul Rahim, Muhammad Arif and Wan Ahmad, Wan Khairunizam (2013) Noise elimination for image subtraction in printed circuit board defect detection algorithm. International Journal of Computers & Technology, 10 (2). pp. 1317-1329. ISSN 2277-3061
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Abstract
Image subtraction operation has been frequently used for automated visual inspection of printed circuit board (PCB) defects. Even though the image subtraction operation able to detect all defects occurred on PCB, some unwanted noise could be detected as well. Hence, before the image subtraction operation can be applied to real images of PCB, image registration operation should be done to align a defective PCB image against a template PCB image. This study shows how the image registration operation is incorporated with a thresholding algorithm to eliminate unwanted noise. The results show that all defects occurred on real images of PCB can be correctly detected without interfere by any unwanted noise.
| Item Type: | Article |
|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Electrical Engineering |
| ID Code: | 40937 |
| Deposited By: | Liza Porijo |
| Deposited On: | 20 Aug 2014 08:19 |
| Last Modified: | 22 Aug 2017 07:06 |
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