The Use of Neural Network to Recognize the Parts of the Computer Motherboard
Abbas M. Ali, S. D. Gore and Musaab AL-Sarierah
DOI : 10.3844/jcssp.2005.477.481
Journal of Computer Science
Volume 1, Issue 4
This study suggests a new approach of learning which utilizes the techniques of computer vision to recognize the parts inside the motherboard. The main thrust is to identify different parts of the motherboard using a Hopfield Neural Network. The outcome of the net is compared with the objects stored in the database. The proposed scheme is implemented using bottom -up approach, where steps like edge detection, spatial filtering, image masking..etc are performed in sequence. the scheme is simulated in MATLAB environment where the motherboard is treated as an image
© 2005 Abbas M. Ali, S. D. Gore and Musaab AL-Sarierah. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.