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Image Processing Algorithms On PT Visual Turntable

Posted on:2012-11-15Degree:MasterType:Thesis
Country:ChinaCandidate:X T WangFull Text:PDF
GTID:2218330368487760Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
P AN&TILT two-dimensional visual turntable is a kind of machinery workbench which can also rotate around its horizontal axis and vertical axis. PT visual turntable can be used as the basic motion platform for radar, missile launcher and all kinds of monitoring device which is a core part of the whole mechanical and electrical control system. On the other hand, it can also be developed as the experiment and simulation platform for rockets, torpedoes, satellite and other high-tech weapons.The experimental research includes image processing part and the control of turntable. Choosing the appropriate image processing algorithm which can quickly locate the next step of the turntable and filter out other objects well is important in image processing part. In the control part, it's required to respond the PC control command quickly and stably. This paper mainly studies the first part using two different algorithms to process image. The first method is based on the roundness of the ball, using mark algorithm and other processing steps to locate the mass center of the ball.In this method, the value of round shape parameters is up to 1 while the value of other shape parameters is greater than 1. Find out small ball area which is most close to round shape parameters by some processing steps. The second method is to obtain a point on the ball first, and then search for some boundary points by using the ray method. The final step is to fit out round by using direct fitting and indirect fitting.The paper analyzes and realizes this two kinds of method which shows the result of image process by programming. The paper expounds the advantages of the two methods, and demonstrates the part that needs to be improved at last.
Keywords/Search Tags:PT visual turntable, Image processing, Shape descriptor, Binary image region mark, Least square method
PDF Full Text Request
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