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Image Measuring Technique and Its Application Study

Author: JiangXiao
Tutor: PengXiaFu;ChenJiaChuan
School: Xiamen University
Course: Control Engineering
Keywords: image measuring edge detection Hough transform least-square fitting line fitting
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 302
Quote: 7
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Abstract


Image measuring is a novel measure technique of high quality in the fields of measuring recently, and it has played an important role in machine video, image matching, and image detecting and pattern recognition. On the basis of image processing, the modern techniques of optics, electronics, computer, geometric, signal and information processing is melt into it as a whole to construct a measuring system. Image measuring is that the measured object image is considered as media to detect and transmit the measured object information, which takes advantages of accurately measuring technique, and the position and recognition of objects is efficiently preceded.On the basis of image processing, a total device and it’s implementation applications of image measuring system is deeply researched in this paper. Digital image measuring system setup, image preprocessing, line Hough transform, least-square fitting, sub-pixel edge location and so on are studied and analyzed, then an image measuring system is constructed on the basis of these work. The basic image elements of line, circle, ellipse, non-normal device and border segmentation are measured by our experimental system, and the existed problems and error derived from experiments are analyzed in theory. The experimental results show that the measuring method is correct in theory and can be implemented. When a normal camera is used to construct the image measuring system, a measure resolution of 0.05-0.10mm can be got by this system, and it can be used in normal applications.

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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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