研究生: |
龔炳丞 Ping-cheng Kung |
---|---|
論文名稱: |
運用空間及彩色動差的影像檢索 New Content-based Image Retrieval Using Spatial Chromaticity Moments |
指導教授: |
鍾國亮
Kuo-liang Chung |
口試委員: |
吳怡樂
Yi-leh Wu 陳建中 Jiann-jone Chen 顏文明 Wen-ming Yan 唐政元 Cheng-yuan Tang |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 資訊工程系 Department of Computer Science and Information Engineering |
論文出版年: | 2006 |
畢業學年度: | 94 |
語文別: | 英文 |
論文頁數: | 23 |
中文關鍵詞: | 彩色動差 、彩色長條圖 、以內容為主的影像檢索 、CIE彩色空間 、分群 |
外文關鍵詞: | clustering, chromaticity moments, content-based image retrieval, color histogram, CIE |
相關次數: | 點閱:186 下載:52 |
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Paschos提出了植基於彩色動差上且可以節省儲存空間的影像檢索演算法。在本篇論文當中,我們提出一個植基於空間及彩色動差上且更加有效的新演算法,此方法除了保留了原有演算法可以節省儲存空間的特性外,對於影像裡的顏色有空間的特性時可以得到更佳的搜尋準確率,用兩百二十五張圖片的實驗結果告訴我們此方法除了可以得到更佳的檢索效率外還可以節省儲存空間。
Based on the chromaticity moments (CMs), recently Paschos presented a memory-saving image retrieval (IR) algorithm called the CMIR algorithm. In this thesis, based on the proposed concept of spatial CMs (SCMs), a novel and efficient spatial-based CMIR (SCMIR) algorithm is presented. Besides preserving the original memory-saving advantage in the currently published CMIR algorithm, our proposed SCMIR algorithm has better retrieval accuracy due to embedding the spatial information into the CMs. Based on two hundred
and twenty-five color images as the image database, experimental
results confirm the better retrieval accuracy and the memory-saving
preservation of our proposed SCMIR algorithm.
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