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.
Highlights
Nowadays, there are numerous algorithms, techniques, and approaches available in the area of automated visual inspection of defects
printed circuit board (PCB) inspection based on referential approaches is applied because it can be employed in hardware, and subsequently high processing rates are possible to be obtained [1]
The objective of this study is to introduce a noise elimination method to eliminate the unwanted noise, which is the residue of image subtraction operation
Summary
There are numerous algorithms, techniques, and approaches available in the area of automated visual inspection of defects Those algorithms can be divided into three main approaches: referential approaches, rule-based approaches, and hybrid approaches [1]. A software-based approach is proposed in this paper to align the template image and defective image [5] These two images are subjected to image subtraction operation to produce a positive image and a negative image. The image subtraction operation is primarily used to reveal the differences between two images In such a way, it removes all objects that do not change while preserves those that do change in pixel value, as executed by Wu et al [2]. The black objects are yielded from the difference between the template image and defective image
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
