The use of neural network to recognize the parts of the computer motherboard.

Abstract: 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.

Key words: Image, edge detection, neural network, hopfield, digital image

INTRODUCTION

Computer imagining is a fascinating and exciting area to be involved in today [6], where different steps such as translating the visual information in the form of digital images and processing a digital information, translating into another form e.g. sound or action and communication.

In this work we have taken the image of the motherboard since it is the fixed component inside a computer and trying to isolate the parts of the motherboard. Finally the isolated component then compared inside the database which contains also parts with associated meaning in a text this text will be in turn converted to action or voice.

This study deals with the design of Artificial Neural Network (ANN) to retrieve as well as processing the image of the motherboard. Because the image …