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Content-based Trademark Image Retrieval

Posted on:2005-08-18Degree:MasterType:Thesis
Country:ChinaCandidate:H Q LiuFull Text:PDF
GTID:2208360125454108Subject:Pattern Recognition and Intelligent Systems
Abstract/Summary:PDF Full Text Request
Content Based Image Retrieval (CBIR) means retrieving images based on the image content description features directly. The present research on CBIR focuses on the similarity matching of lower-features, such as color, texture, shape, etc. CBIR can be applied to image database, economic library, brand management, and public security systems. It is obvious important and significant that CBIR has been one of most active researches in computer vision, image database, knowledge discovery and so on.The present and the future of CBIR and the key issues are discussed in this paper, after analyzed the retrieval methods and characteristics of color-based, texture-based, shape-based, this paper's research aim at the method of shape-based. And after analyzed the model and common estimate rules, this paper selects PVR curve as estimate rule. This paper does some experiments to select the right sub-image integrate rules, the result of experiments show the rule of add weight to minimal-average is the best one.This paper presents a trademark retrieval method in which the several shape features and spatial relationship are both used for the purpose of making full use of image inner info and improving retrieval precision. To prove the validity of the method, this paper does the experiments for single-shape feature based, two-shape features integration, two-shape features and spatial relationship integration. The experiments base on three trademark libraries, which respective includes more than 3000, 4000, 5000 binary trademarks. The results of experiments show the method has best precision and the output accords with people's visual feeling best.This paper designs a Content Based Trademark Image Retrieval system as a test platform. The system platform for developing this CBIR system is Windows 2000 Server, and the development environment is Visual C++ 6.0.
Keywords/Search Tags:Content Based Image Retrieval, Trademark, Shape Feature, Spatial Relationship Feature, Retrieval Precision, Retrieval Recall
PDF Full Text Request
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