Zuwairie, Ibrahim and Ismail, Ibrahim and Zulfakar, Aspar and Kamal, Khalil and Sophan Wahyudi, Nawawi and Muhammad Arif, Abdul Rahim and Wan Khairunizam, Wan Ahmad (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. (Published)
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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 |
|---|---|
| Additional Information: | Printed Circuit Boards, Image Registration, Affine Transformation, Bi-cubic Interpolation, Defect Detection |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 22 Apr 2016 07:37 |
| Last Modified: | 08 Feb 2018 00:59 |
| URI: | http://umpir.ump.edu.my/id/eprint/6568 |
| Download Statistic: | View Download Statistics |
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