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dc.contributor.authorSu, Yen-Weien_US
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dc.description.abstractContent-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.en_US
dc.description.tableofcontents摘要 I Abstract II 目錄 III 圖目錄 V 表目錄 VII 第一章 緒論 1 1.1 研究背景 1 1.2 研究動機與目的 1 1.3 研究範圍及限制 2 1.4 論文架構 2 第二章 相關文獻回顧 3 2.1 影像資料庫 3 2.2 以物件彼此的空間關係為主的CBIR 3 2.2.1 2D string 4 2.2.2 2D G-string 5 2.2.3 2D C-string 5 2.2.4 2D C+-string 6 2.2.5 2D Z-string 7 2.2.6 9DLT 8 2.2.7 9D-SPA 9 2.2.8 Fuzzy semantics for direction relations between composite regions 10 第三章 圖形表示法與空間推理 13 3.1 空間關係的表示 13 3.2 空間推論 20 第四章 相似度查詢 24 4.1 相似度衡量 24 4.2 實例說明 29 第五章 實驗結果與分析 34 第六章 結論 37 附錄 A 38 參考文獻 39zh_TW
dc.subjectimage retrievalen_US
dc.subjectspatial relationshipsen_US
dc.subjectspatial reasoningen_US
dc.subjectsimilarity measuresen_US
dc.subjectsimilarity retrievalen_US
dc.titleImage Retrieval based on Object''s Centroid-Extended Spanning Representation using Triangular Partition Approachen_US
dc.typeThesis and Dissertationzh_TW
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