紅外線熱影像法(Thermography)可快速且大範圍檢測材料內部缺陷，在非破壞性檢測上之應用越來越廣泛；利用紅外線熱影像儀搭配數位影像處理及電腦系統可獲得清晰之熱影像圖，從而得到缺陷位置，但尚無有效之自動化檢測缺陷方法。
近年來，碳纖維複合材料(CFRP)運用在商用客機上的比例越來越高，並具有不易疲勞和耐侵蝕的特性，但是其材料性質容易受到內部缺陷、外來異物與膠合不良的影響，進而影響航空安全，因此事先將缺陷部分檢測出來並加以改善，為重要的步驟。
本文的研究目的為以紅外線熱影像法為基礎之量測系統檢測嵌有膠合缺陷之碳纖維複合材料，並在檢測前先以有限元素法模擬熱傳過程，分析不同加熱時間下，各種缺陷達到最大溫差的時間點，並與實驗結果做比較。之後再將檢測結果之熱影像圖，運用影像處理方法做圖像分析，自動化辨識缺陷區域，結果顯示此圖像分析方法可有效辨識缺陷區域，並可有效消除雜訊與熱分佈不均之影響。

Thermography can quickly detect embedded defects of the materials and the application is more and more widely in non-destructive testing. Using a infrared thermal camera with digital image processing and computer systems can obtain a clear thermal image with the location of defects. But there is no effective method of automated detection.
In recent years, the proportion of Carbon Fiber Reinforced Polymers (CFRP) used in commercial aircraft is more and more highly, with many advantages like high strength and ease of design. CFRP have less fatigue and corrosion, but the nature of the material is susceptible to internal defects, foreign bodies and glued adverse effects the aviation safety. Therefore, detecting the defect regions in advance and improving it are important steps.
In this research, the major purpose is using measurement system based on thermography to detect the gluing defects embedded in CFRP. And use the finite element method to simulate the heat transfer process before detecting. Analyzing the time when the defects reach the maximum temperature in different heating time and comparing with the experimental results. Then use image processing methods to do image analysis from thermal images and automated identify defect area. The results show that this image analysis method can effectively identify the defect area in image, and effectively eliminate the noise and the impact of uneven heat distribution.

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