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Image Retrieval based on Object''s Centroid-Extended Spanning Representation using Triangular Partition Approach
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Content-based image retrieval (CBIR) is the current trend of designing image database systems as opposed to text-based image retrieval. Spatial relationships between objects are important features for designing a content-based image retrieval system. In this paper, we propose a new spatial representation based on centroid-extended spanning concept using a triangular partition approach. Such a representation can facilitate spatial reasoning and similarity retrieval. This representation provides twelve types of similarity measures to meet user's different requirements. Experimental results demonstrate that image database systems based on the representation method proposed in this thesis have high performance in terms of recall and precision.
|Appears in Collections:||資訊科學與工程學系所|
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