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Study Of Measuring & Data Processing System Of Ablation Area On Curved Surface

Posted on:2005-07-08Degree:MasterType:Thesis
Country:ChinaCandidate:T ZhangFull Text:PDF
GTID:2132360122471696Subject:Measuring and Testing Technology and Instruments
Abstract/Summary:PDF Full Text Request
As the development of modern science and technology, measurement of geometric size, shape and position has expanded from one or two dimension to three. The image of workpiece contains rich information so image-based measurement has become an important subject to study. It's significant for further improvement of precision, speed and automatization of measurement and minimization of labor.There are many studies and applications of image-based measurement to inspect geometric quantum such as length, area, shape and so on. However, the research and application are limited within two-dimensional field. Actually, it's significant of area measurement on curved surface in production and research. For example, the area measurement of cartridge surface ablation is an important means to analyze the quality and shoot of cannon.The paper deeply studies calibration, correct of image distortion, curved-surface spread and mosaic, image segmentation which happen in the area measurement of special regions on the curved surface using image technique. It achieved automatic calibration correct recognition of characteristic region and exact joint of images. It's a great advancement compared with manual measurement.Based on that, the system developed for ablation area measurement combines mechanics, optics and computer organically, according with the development trend of instrument towards high precision> integration and intelligentizing. It has been in work with excellent efficiency. Now, it has run successfully on the measurement system developed for CPLA weapon trial center. The method proposed in this paper can be referred when measuring area, nicks, abrasion and rust on curved surface.
Keywords/Search Tags:Coordinates measuring machine (CMM), Area measurement, Curved surface, Image segmentation, Color
PDF Full Text Request
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