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系統識別號 U0026-1408201415282600
論文名稱(中文) 視覺化三維水下照度估測方法之研究
論文名稱(英文) Study on 3-D Visualization of Underwater Illuminance Estimation Method
校院名稱 成功大學
系所名稱(中) 系統及船舶機電工程學系
系所名稱(英) Department of Systems and Naval Mechatronic Engineering
學年度 102
學期 2
出版年 103
研究生(中文) 劉玉麒
研究生(英文) Yu-Ci Liu
學號 P16014125
學位類別 碩士
語文別 英文
論文頁數 56頁
口試委員 指導教授-邵揮洲
口試委員-沈聖智
口試委員-林凱隆
中文關鍵字 水下照度量測  數位影像處理  主成分分析  回歸分析 
英文關鍵字 Underwater Illuminance Measurement  Digital Image Processing  Principal Component Analysis  Regression Analysis 
學科別分類
中文摘要 隨影像式照度量測技術在水下光學領域日益重要,本文擬結合數位影像處理、主成分分析及回歸分析,發展視覺化三維水下照度估測技術,以利水下照度量測。首先,吾人定義水下為實驗環境,使用商用發光二極體燈具為量測光源,以感光耦合元件擷取受到光源所照射之平面影像。第二,經數位影像處理,可得三個影像特徵值,以主成分分析方法降低變數維度,得到主成分值。同時,使用照度感測器進行受照面上的陣列式照度量測。最後,透過回歸分析,獲得主成分值與照度之間的關係。實驗結果顯示,本文所設計之視覺化三維水下照度估測技術,不僅估測照度值與量測照度值進行正規化交互相關性比較,相似性可達97 %,且可藉此推廣至不同光型、不同距光源之長度,讓水下量測照度的時間由數十分鐘縮短到數十秒,提升照度量測的效率,改善傳統量測耗時的缺點。而估測過程中,只需要感光耦合元件,即可獲得水下環境的照度分布,使照度量測技術可普及且不拘受照面環境。
英文摘要 Image illuminance measuring technology increasingly applies in scientific research on underwater optics. Based on the digital image processing, principal component analysis (PCA) and regression analysis, a novel 3-D visualization illuminance estimation method could improve underwater illuminance measurement technology examined in this study. First, the study defines the underwater experimental environment and uses commercial underwater LED, then captures an image of the illuminated area by a CCD. Second, digital images are processed, and three image key factors obtained. The study substitutes these three key factors into principal component analysis to reduce the variable dimension, and the principal component value obtained. Moreover, the study positions an illuminance meter manually to complete the array measurement of the illuminated area. Finally, the study conducts regression analysis to determine the relationship between principal component and illuminance. The experimental results indicate that the similarity between the estimated and measured values can reach 97% which calculated by NCC, and there has the ability to analyze different light types and distances by this system; therefore, compared with traditional methods, adopting the new method reduces the measurement time to a few seconds and enhanced measurement efficiency. Thus, using the 3-D visualization illuminance estimation method enables users to easily measure and capture the environmental illuminance, thereby enhancing the availability of such information.
論文目次 Acknowledgements I
Abstract in Chinese II
Abstract III
Table of Contents IV
List of Figures VI
List of Tables VIII
List of Abbreviations IX
Chapter 1. Introduction 1
1.1 Motivation 1
1.2 Adopted Technologies 3
1.3 Thesis Organization 4
Chapter 2. Literature Review 5
2.1 Illuminance Measurement Technology 5
2.2 Regression Analysis 12
2.3 Digital Image Processing 13
2.4 Principal Component Analysis 15
2.5 Normalized Cross Correlation 16
Chapter 3. Principle and Method of Illuminance Estimation 18
3.1 Procedures of the Illuminance Estimation 18
3.2 Results of the Digital Image Processing 19
3.3 Regression Modeling 21
3.4 Steps for Principal Component Analysis 22
3.5 MATLAB Compiler Program 26
Chapter 4. Experimental Methods and Structure 31
4.1 Purpose and Design of Experiment 31
4.2 Array Illuminance Measurement 36
4.3 Illuminance Distribution 37
Chapter 5. Results and Discussion 41
5.1 Standard Light Experiment 41
5.2 Testing Light Experiment 42
5.3 Long Distance Lighting Experiment 44
Chapter 6. Conclusions and Future Work 49
6.1 Conclusions 49
6.2 Future Work 49
Reference 51
Appendix A. MATLAB Code 55
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