臺灣博碩士論文加值系統

智慧型運輸系統（ITS）整合各項先進技術，建立一種全方位及高效率的運輸和管理系統，以達到提升運輸系統效率與保障人車安全的目標。另外透過具備高速圖像運算能力的電腦即時處理，提供駕駛人最清晰的後視影像，如: 影像倒車系統、監控系統，行車紀錄器等。這顯示未來的趨勢是駕駛人會越來越信賴各式影像感測技術的分析；所以，影像感測技術需要更精進其取像穩定度。
本論文著重在於經由影像校正技術，將熱影像以及光學影像做對應重疊；有別於傳統影像分割演算法僅利用單一影像資訊(比如，色彩資訊)，我們提出的系統將同時採用雙影像資訊:熱影像中的溫度資訊(像素熱輻射值)以及光學影像的色彩資訊(像素熱色彩值)。蒐集大量的、不同環境的、不同氣候的熱像儀影像，透過影像和數值統計分析的方式去找出更穩定的熱顯像特徵、以供後續其它行車辨識的研究參考。

This paper characterizes the vehicle components by an infrared thermal imaging system.
In our project, we want to characterize objects’ heat signature,such as mean temperature and its variance, by segmenting their contours in thermal images and analyzing the information from each segment.
Hence, we proposed a semi-automatic segmentation method that takes advantage of the information by another common camera. Such bi-sensor system improves the precision of sketching the contours of objects in thermal images. The experimental results can be used to further interpret thermal images when thermal sensors are applied for vehicle detection.

中文摘要 ii
ABSTRACT iii
誌 謝 iv
目 錄 v
圖目錄 vii
表目錄 ix
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 5
1.3 論文架構 6
第二章 待測物溫度特性自動量測方法 7
2.1 前言 7
2.2圖像幾何校正 8
2.3藉由K-Means Clustering分割 12
2.4 Analysis of Contour and Flatness 12
2.5 Segment Merging by Optical Image Information 15
2.6實驗結果 17
第三章 研究設備 19
3.1 前言 19
3.2 硬體部分 19
3.3 軟體部分 24
3.4 環境溫度的記錄方式 25
3.5量測儀器和板金的感測結果分析 25
第四章 車體組成材料熱輻射特性分析 30
4.1車體組成材料熱輻射特性分析(玻璃) 30
4.2車體物件(靜態)與實際駕駛量測(動態) 31
第五章 結論 45
參考文獻 46

Available online. http://news.u-car.com.tw/22619.html.
Y. Iwasaki, “A method of robust moving vehicle detection for bad weather using an infrared thermography camera,” Proc. IEEE International Conference on Wavelet Analysis and Pattern Recognition, vol. 1, pp. 86-90, Aug. 2008.
H. Kanai, K. Fujita, H. Ishizawa, Y. Matsumoto, E. Toba, and T. Nishimatsu, “Evaluation of lane indication performance using CCD image sensor,” Proc. IEEE Conference on Instrumentation and Measurement Technology, vol. 3, pp. 1680-1684, May 2005.
A. Yoneyama, C. Yeh, and C. Kuo, “Robust vehicle and traffic information extraction for highway surveillance,” Proc. EURASIP Journal on Applied Signal Processing, vol. 1, Issue 14, pp. 2305-2321, 2005.
W. Chen, H. Cheng, and H. Shen, “An effective methodology for thermal characterization of electronic packaging,” IEEE Trans. Components and Packaging Technologies, vol. 26, pp. 222-232, March 2003.
A. Kroll, W. Baetz, and D. Peretzki, “On autonomous detection of pressured air and gas leaks using passive IR-thermography for mobile robot application,” Proc. IEEE International Conference on Robotics and Automation, pp. 921-926, May 2009.
A. Muscio, and M. A. Corticelli, “Land mine detection by infrared thermography: reduction of size and duration of the experiments,” IEEE Trans. Geoscience and Remote Sensing, vol. 42, pp. 1955-1964, Sept. 2004.
A. Sangnoree, and K. Chamnongthai, “An application of thermography for its to evaluate the over limited velocity vehicles in nighttime-traffic,” Proc. IEEE International Conference on ITS Telecommunications, pp. 150-153, Oct. 2008.
A. Sangnoree, “Vehicular separation by thermal features relative angle for nighttime traffic,” Proc. IEEE International Conference on Information Science and Service Science and Data Mining, pp. 769-773, Oct. 2012.
K. Mikolajczyk and C. Schmid, “A performance evaluation of local descriptors,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 27, no. 10, pp.1615-1630, Oct. 2005.
D. G. Lowe, “Distinctive image features from scale-invariant keypoints,” The International Journal of Computer Vision, vol. 60, no. 2, pp. 91-110, Nov. 2004.
P. Schonemann, “A Generalized Solution of the Orthogonal Procrustes Problem,” Psychometrika, vol. 31, no. 3, pp. 1-10, March 1966.