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Research on Substrate Image Recognition System Based on CMOS Sensor

Author: QuMengMeng
Tutor: LiYuanZong
School: Taiyuan University of Technology
Course: Mechanical and Electronic Engineering
Keywords: Machine Vision Image Recognition Edge Detection Median filter Subpixel
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 53
Quote: 0
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Abstract


In the industrial production site, on the detection of the size of the workpiece on the traditional artificial measurement tools to achieve. Vulnerable operating manual inspection method, instrument accuracy, environmental impact of a variety of factors, it is difficult to guarantee the quality of the detection, reduced accuracy, and it takes a lot of time, and can not be quickly measured, can not meet many of the demands of the modern industrial production site automatically detect . Urgent requirement in order to meet the automatic detection born in recent years, a variety of state-of-the-art detection technology bred, machine vision-based image recognition technology is a mainstream technology. Commonly used image recognition system based on machine vision CCD or CMOS cameras uptake detected image into a digital signal, and then using the state-of-the-art computer hardware and software technology of the digital image signal processing, which target image features need values, and thereby achieving the workpiece recognition or defect detection and other functions. The main contents of the present paper is in the design of the experiment platform, by the CMOS camera substrate to the real-time image capture, processing by the image of the image recognition software of the design of the base sheet of the substrate, extraction of the size of the substrate to achieve a substrate image recognition. Paper will carry out the study as follows: The first chapter introduces the development of machine vision technology and machine vision applications in industrial, medical, and then describes the characteristics of the CMOS image sensor and application status, and finally put forward the main content of the subject to be studied as well as the significance of the study. The second chapter tells substrate image recognition system hardware design, given the hardware components of the system: CMOS camera, lens, light source. Discussion System in various hardware parameters and the general principle of the selection. Selecting the right hardware and in accordance with the requirements of the subject, introduced its performance characteristics. The third chapter analyzes the image processing technology in the substrate image recognition system, on the edge of the image by image preprocessing, segmentation, mathematical morphology, edge detection and subpixel technology filtered image noise, accurate positioning is the core part of the whole system. Chapter IV is a software design and implementation of the system, first analysis shows the characteristics of the Visual C language, and then expounded the substrate image recognition system software function modules and distribution, measured the size of the substrate, the image of the substrate recognition, and finally Analysis of the cause of the error. Chapter V of this article content brief summary discussion of some of the problems to be studied further.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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