許多研究指出，動物體溫在畜牧業的健康管理中佔有相當重要的地位，體溫上升可能導致家畜生殖能力及牛奶產量下降，甚至因食慾下降而感染疾病，對畜牧經濟有相當大的影響；而精確量測體溫，在判別畜牧業常見的疾病中是相當重要的，些微的誤差便可能導致疾病的誤判，並造成損失，因此希望在牛隻體溫的量測上能夠更加精確。
本論文將會討論使用熱影像對牛隻眼睛進行溫度量測的重要性及熱影像相關原理。使用紅外線測溫取代一般接觸式量測直腸溫度的方式，能夠使量測牛隻體溫的過程中，不需耗費過多人力且不會造成牛隻不適；然而，使用熱影像量測溫度，容易受外在因素影響表面溫度，進而致使量測上的誤差，因此需在量測時加入考量。
為減少外在因素對眼睛溫度造成的量測誤差，在進行量測時，同時對環境參數(包括環境溫溼度及風速)進行記錄；並且在量測熱影像的同時進行直腸溫度的量測以作為依據。量測結束後，將所有測得的數據傳至電腦，利用Matlab排除非理想數據；此外，考量到眼睛移動可能造成周圍空氣流動，會影響眼睛溫度的量測結果，故本實驗也偵測了影像中眼睛的位置，判斷眼睛是否移動，並將數據進行比對及篩選。為使熱影像量測結果能更接近直腸溫度，將篩選後的結果進行校正，達到誤差小於±1°C，並對數據處理前後的結果進行討論及分析。

Many studies have pointed out that animal temperature plays an important role in the health management of animal husbandry. The rise of body temperature may lead to a decline in the fertility and milk production of livestock and even infection due to decreased appetite, which has a considerable impact on the feedlot economy. Measuring body temperature is quite important in determining the common diseases in the feedlot. Minor errors may lead to misjudgment of diseases and loss, so we hope that the measurement of cattle temperature can be more accurate.
This essay will elaborate on the importance of using thermal imaging to measure the temperature of a cattle's eye and the principles of it. Using infrared temperature measurement instead of the general contact measurement of the rectal temperature is able to avoid excessive manpower and the discomfort of cattle; however, the surface temperature is easily affected by environmental factors when using thermal imaging, which causes errors that need to be taken into consideration.
Considering the influence of environmental factors on the eye temperature, the environmental parameters, including the ambient temperature, humidity, and the wind speed, are recorded at the same time in order to reduce the error. Meanwhile, we use the rectal temperature measurement as reference. All the data are transmitted to the computer, and non-ideal data is removed by Matlab. In addition, the ambient air flow caused by the movement of the eye, which might affect the eye temperature, has also been considered. We therefore detect the position of the eye in the image and determine the movements to analyze the data. In order to make the result of thermal image measurement closer to the rectal temperature, the filtered data were calibrated to cut the error down to less than ±1 °C. Then we will discuss and analyze the results before and after processing the data.

論文審定書 i
論文公開授權書 ii
誌謝 iii
摘要 iv
Abstract v
目錄 vi
圖次 viii
表次 xi
第一章 緒論 1
1.1研究動機 1
1.2體溫與表面溫度 1
1.2.1測量溫度的方法比較 1
1.2.2表面溫度及影響因素 4
1.4熱影像介紹 4
1.4.1紅外線原理 5
1.4.2紅外線感測器種類 6
1.4.4熱影像應用 8
1.4研究目的與章節規劃 10
1.4.1 研究目的 10
1.4.2 章節規劃 10
第二章 實驗架構介紹 12
2.1量測儀器介紹 12
2.2熱影像介紹 14
2.2.1 Heat Finder介紹 15
2.2.2保護層介紹 15
2.2.3 Lepton系統架構介紹 16
2.2.4 Lepton傳輸方式 18
2.3Heat Finder實驗 22
2.3.1與溫度計之關係 22
2.3.2距離實驗 25
2.3.3長時間測試 26
2.4軟體設計 27
第三章 實驗設計與訊號處理 31
3.1牛隻量測 31
3.1.1實驗設置 31
3.1.2測量結果 32
3.1.3 眼睛位置與移動偵測 34
3.1.4有無風速之比較 35
3.2訊號處理 36
3.2.1數據分析與刪減 37
3.2.2影像處理及顯示 38
3.2.3介面設計 39
3.3訊號處理結果及校正結果 41
3.4文獻比較 47
第四章 結論與未來展望 49
4.1結論與未來展望： 49
參考文獻 50

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