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</font

The Comparison of Object Recognition and Identification by Using Image Processing Base on the Neural Network, the Hough transform and the Harris Corner Detection

“…The fuzzy image processing (FIP) is used to adjust brightness of the image. The process includes image fuzzification, membership modification, and image defuzzification which can be showed in Figure 1 [9]. To adjust the brightness of the image, the INT operator with the following methods is used.…”