Content-Based Image Retrieval System Based On Color And Structure Features
| Autor: | Cheng-Yin Wu, 吳承穎 |
|---|---|
| Rok vydání: | 2003 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 91 With the fast development of internet and computer technologies, the demand of multimedia and images are more and more. We prefer to digitize and store them for query and retrieval another day. Traditional information retrieval research, such as text-based information retrieval has remarkable achievement. People can use key words which they define themselves to search interesting information they care about. This method, may be we can use in multimedia information retrieval. Indexing step by step by person is a very tedious job. In the light of this problem, content-based retrieval technologies nowadays have gotten more attraction. An intention of research is how to manage a large digital database effectively and can support user to find similar information which they query by example in database. In this thesis, we design an image retrieval system based on content. We focus on color features and structure features in our system. According to our experiment, our system has a good performance in different kinds of color images. In particular, it has obvious improvement in clear contour which image has. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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