Noise Elimination for Image Subtraction in Printed Circuit Board Defect Detection Algorithm
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...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Peer Review Research Publishing System
2013
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/6568/ http://umpir.ump.edu.my/id/eprint/6568/1/Noise_Elimination_for_Image_Subtraction_in_Printed_Circuit_Board_Defect_Detection_Algorithm.pdf |
| _version_ | 1848817805160349696 |
|---|---|
| author | Zuwairie, Ibrahim Ismail, Ibrahim Zulfakar, Aspar Kamal, Khalil Sophan Wahyudi, Nawawi Muhammad Arif, Abdul Rahim Wan Khairunizam, Wan Ahmad |
| author_facet | Zuwairie, Ibrahim Ismail, Ibrahim Zulfakar, Aspar Kamal, Khalil Sophan Wahyudi, Nawawi Muhammad Arif, Abdul Rahim Wan Khairunizam, Wan Ahmad |
| author_sort | Zuwairie, Ibrahim |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T01:27:36Z |
| format | Article |
| id | ump-6568 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:27:36Z |
| publishDate | 2013 |
| publisher | Peer Review Research Publishing System |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-65682018-02-08T00:59:35Z http://umpir.ump.edu.my/id/eprint/6568/ Noise Elimination for Image Subtraction in Printed Circuit Board Defect Detection Algorithm Zuwairie, Ibrahim Ismail, Ibrahim Zulfakar, Aspar Kamal, Khalil Sophan Wahyudi, Nawawi Muhammad Arif, Abdul Rahim Wan Khairunizam, Wan Ahmad TK Electrical engineering. Electronics Nuclear engineering 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. Peer Review Research Publishing System 2013 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/6568/1/Noise_Elimination_for_Image_Subtraction_in_Printed_Circuit_Board_Defect_Detection_Algorithm.pdf 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) http://cirworld.com/journals/index.php/ijct/article/view/1883 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Zuwairie, Ibrahim Ismail, Ibrahim Zulfakar, Aspar Kamal, Khalil Sophan Wahyudi, Nawawi Muhammad Arif, Abdul Rahim Wan Khairunizam, Wan Ahmad Noise Elimination for Image Subtraction in Printed Circuit Board Defect Detection Algorithm |
| title | Noise Elimination for Image Subtraction in Printed Circuit Board Defect Detection Algorithm |
| title_full | Noise Elimination for Image Subtraction in Printed Circuit Board Defect Detection Algorithm |
| title_fullStr | Noise Elimination for Image Subtraction in Printed Circuit Board Defect Detection Algorithm |
| title_full_unstemmed | Noise Elimination for Image Subtraction in Printed Circuit Board Defect Detection Algorithm |
| title_short | Noise Elimination for Image Subtraction in Printed Circuit Board Defect Detection Algorithm |
| title_sort | noise elimination for image subtraction in printed circuit board defect detection algorithm |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/6568/ http://umpir.ump.edu.my/id/eprint/6568/ http://umpir.ump.edu.my/id/eprint/6568/1/Noise_Elimination_for_Image_Subtraction_in_Printed_Circuit_Board_Defect_Detection_Algorithm.pdf |