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Research On Mesurement Of Vehicle Sensory Based On Machine Vision

Posted on:2011-09-10Degree:MasterType:Thesis
Country:ChinaCandidate:Z F ChengFull Text:PDF
GTID:2178360308473734Subject:Detection Technology and Automation
Abstract/Summary:PDF Full Text Request
With the rapid development of computer technology, modern sensing and digital image processing technology, the machine vision technology is widely applied in domains such as product quality examination, machining, precision measurement, vibration examination robot and so on. Applying machine vision technology on motive carrier (automoile) is a popular research project for digital image processing and modernized production and management. It has high research significance and project application value for study and realize vehicle sensory which include Vehicle License Vehicle Color3-D size parameter parameter by non-contact examination.The paper introduced elementary image processing knowledge in detail, including image binaryzation, image smoothing, edge detection,Threshold segmentation and so on. The hardware platform for vehicle 3-D video measuring system been disigned.License plate location based on modified HSI color model and prior knowledge, using gray value differences between the old and new cars discriminant. Proposed based on color and color normalized body color recognition algorithm, through a comparative study multiple color space model and its corresponding color-difference formula, experiment to identify the color which help identify the color space model and the corresponding color-difference, improve the system recognition accuracy and robustness and so on.After 3-D matching, one kind of method for calculating vehicle length and width value by extracting a medial axis was proposed under the condition that the radio of length to width is unknown. This method was verified by simulation and calculation of experiment. The summary and forecast of the study were given at last.
Keywords/Search Tags:Machine vision, Image processing, HSI color model, Color recognition, size of vehicle
PDF Full Text Request
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