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The Extraction Of Motion Object In The Dynamic Background

Posted on:2005-11-28Degree:MasterType:Thesis
Country:ChinaCandidate:H MaFull Text:PDF
GTID:2168360122488295Subject:Applied Mathematics
Abstract/Summary:PDF Full Text Request
The edge of image is often considered as its fundamental feature in image processing. It has been used in image processing and analyzing technologies such as feature description, image recognition, image segmentation, image enhancement and image data compression on a high level. Then we can comprehend and analyze the edge image later on .Now, the extraction of motion object in dynamic background is a important developing-direction in digital image process, and it is very significative. In dynamic background , people commonly care about some objects, which have a strong wallop to people's system of vision or are special object regarded as important things by people. So this aspect is very important. At every aspect of managing of motion object, this aspect is base and important. Because we can go on doing more research after attaining the edge of object with texture.The traditional way is that analyzing original image with all sorts of edge operator , and do more operations. But This way is not considering the information of texture and not doing more works. So This edge image exists much flaw, such as, disorder interfereing points, fake edges, discontinuity in the edges, etc.Finally, this thesis considered the traditional way not to adapt to our problem for developing the 3-D stimulating of athlete. So we advance a method that adapting to dealing with our problem, and do some research with several aspect: first, discussing the application of morphology detecting edge of image .Secondly, in the connection of edge, basing on actual problem ,we advance a method of connectin edge that has universal significance. Thirdly, according as the difference of precision, we may short the steps of edge extraction and improve the efficiency of algorithm with dilation algorithm. At last, with felicitical using algorithm of scanning beam, we attain the rigor edge image with texture.
Keywords/Search Tags:image processing, edge detection, image intensity, morphological algorithm, bit tree, edge conjoint, wavelet transform, lipschitz exponent, mutilscale analysis, arithmetic of scanning beam
PDF Full Text Request
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