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Retrieval System, Based On The Content Of The Artistic Conception Gallery

Posted on:2005-06-19Degree:MasterType:Thesis
Country:ChinaCandidate:Y W ZhouFull Text:PDF
GTID:2208360122475076Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
Based on Image Processing and Database Management System, Content Based Image Retrieval (CBIR) is employed to obtain approximate results from image database, using the visual feature of images. It has been several years for researching in CBIR round all over the world. Many techniques have been achieved and some retrieval methods have emerged. Most of functions are approaching the real application level.Artistic Conception Drawing used in weave industry is a kind of design files; it is designed by the weaving technology person using the special CAD software. In this paper the design scheme of Shape-Based Image Retrieval is firstly suggested along with specific of Artistic Conception Drawing. Combined with latest techniques of CBIR and needs in industrial production, works has been done at our research level. And experiment results indicate the existing problems and future works.In this paper three familiar scheme of CBIR are compared and the design scheme of Shape-Based Image Retrieval (SBIR) is suggested along with the factual need of my item. The technology of SBIR were carefully studied, and the characteristics of image edge were analyzed. Also researches on several edge detection arithmetic show the results of Hu moment invariants.At last this paper introduces the work of this item and several points about programming, shows the frame and operation interface of this program .This program has been used by consumers and obtained fine appraisement.Syncretizing the last technique of CBIR and the feature of fabric and developing a new practicable Artistic Conception Drawing retrieval system are the innovation of this paper.
Keywords/Search Tags:artistic conception drawing, image processing, image database, content-based image retrieval, edge detection, feature extraction, shape, moment invariants, ADO
PDF Full Text Request
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