一般的影像檢索資料庫在作法上大多是採用人工先對圖案加以標註文字，再對文字做索引的方式來檢索影像，這樣的作法無法客觀的描述影像本身的特性，本研究提出了一個以顏色分布、外型及材質為特徵的的檢索法方法，可以客觀的描述影像本身的特性及關連，使用者可用此系統作為分類的依據或是輔助的系統。
此系統運用原有文字全文檢索的技術加上影像的特徵擷取，發展了影像及文字二用的檢索技術，使用這種架構可以把新的影像檢索方法架構在原有成熟的技術上。
以往的影像檢索資料庫大多需耗費許多人工來維護，本系統由資料取得到特徵擷取皆不需經由人工處理，可有效的省去人工維護的困擾。本系統使用的特徵為影像的週邊文字、顏色分布、外型及材質，經評比有73%的準確度並結合平行架構以有效的增進處理的效能。

The most common method used by the current available image search engines is first to manually annotate images using texts, and then perform the search using traditional text indexing methods. One of the problems with this technique is the inability to describe objectively various attributes of an image. In this study, we propose an image indexing method that uses histogram, shape, and textures of an image to build an objective description of a given image. This approach can also be used along with an existing classification system.
The proposed system integrates the existing text-based retrieval techniques and the image attributes acquisition mechanisms. As a result, it allows the application of new image indexing methods onto existing search technologies.
Most of currently existing image index databases require maintenance with considerable human resources. Since the proposed system finds histogram, shape, and textures as attributes of an image automatically, the need for human resources is minimized. Experiments are conducted and the benchmark results have demonstrated a classification rate of 73%. To improve the performance of the proposed system, parallel algorithms are also applied for indexing.

書名頁 i
論文口試委員審定書 ii
教育部授權書 iii
國科會授權書 iv
國家圖書館授權書 v
中文摘要 vi
英文摘要 vii
誌謝 viii
目錄 1
表目錄 3
圖目錄 4
第一章 緒論 6
1.1研究背景 6
1.2研究動機 7
1.2.1現有作法 7
2.2.2現有作法的問題點 8
2.2.3系統原始想法 8
1.3研究目的 9
1.3.1以影像本身的特徵來找尋影像 9
1.3.2結合現有文字檢索技術 10
1.3.3提供客觀的相似圖案標準 10
1.3.4去除人工維護的困擾 10
1.4研究範圍與限制 10
1.4.1研究範圍 10
1.4.2研究限制 11
1.4.3章節組織 11
第二章 文獻探討 12
2.1文字全文檢索 12
2.1.1 文字全文檢索引擎的架構 12
2.1.2 文字全文檢索引擎的發展趨勢及困難點 14
2.2影像的檢索引擎 15
2.2.1影像檢索引擎的架構 15
2.3影像特徵種類 16
2.3.1 影像的顏色分布特徵 17
2.3.2 以顏色分布為參考值的影像搜尋引擎 17
2.3.3 影像的外型特徵 18
2.3.4 以外型為參考值的影像搜尋引擎 19
2.3.5 影像的材質特徵 21
2.5 整合的架構 22
第三章 研究架構 24
3.1系統架構 24
3.2系統模組 25
3.3索引建立模組 27
3.3.1資料擷取模組 27
3.3.2資料前處理模組 28
3.4反轉檔建立模組 34
3.4.1資料檢索模組 38
3.4.2資料分析模組 38
3.4.3資料比對模組 39
3.5平行架構 40
第四章 研究結果 41
4.1評比影像特徵擷取 41
4.2查詢界面及查詢結果 42
4.3平行索引與單機索引的比較 47
第五章 結論 50
5.1 結論 50
5.2未來工作 51
參考文獻 53

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