臺灣博碩士論文加值系統

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.

1 Introduction 1
2 The past work: CMIR algorithm 5
3 The proposed SCMIR algorithm 8
3.1 The CIE Lu'v' color 8
3.2 The spatial CMs (SCMs) 10
3.3 The proposed SCMIR algorithm 13
4 Experimental Results 16
5 Conclusions 20

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