臺灣位於亞熱帶地區，夏季炎熱濕度高，非常適合蚊子生長，近年來登革熱肆虐，蚊子成為人們避之唯恐不及的昆蟲，故本文嘗試設計一套病媒蚊辨識系統，使得登革熱疫情擴散前，能盡早得知病媒蚊聚集較密集的區域，及早噴藥。
本文使用USB電子顯微鏡，擷取顯微鏡所輸入的影像，在預設顯示裝置及電子顯微鏡Gamma值為1的情況下，使用色彩空間轉換、二值化、邊緣偵測、輪廓提取、Gamma校正及背景相減之影像處理相關演算法，先透過色彩辨識決定是否進行Gamma校正，再透過特徵辨識提取病媒蚊花腳特徵，計算花腳於圖像中所占之像素點總和。
實驗結果顯示，使用色彩辨識與特徵辨識之綜合方法，其病媒蚊與非病媒蚊辨識率為100%。

Taiwan is located in the subtropical area. The warm and humid climate of Taiwan creates an ideal incubation environment for mosquitoes. In recent years, the rage of dengue fever has turned mosquitoes into the insects that people avoid like a plague. This study aims to design a mosquito recognition system. The system allows the related agencies to conduct a proper measure to avoid the spread of dengue fever by image processing.
The developed image processing algorithms include color space conversion, image binarization, edge detection, contour extraction, gamma correction, and background subtraction. The images of the mosquitos are captured by the USB electron microscope first. Then a series of image operations are performed, including color detection to decide whether the gamma correction is needed and identifying the black-and-white-striped legs of dengue mosquitos through feature detection. In the process, the pixel sum of the black-and-white-striped legs in the image is calculated for the classification of mosquitos. By combining the color detection and feature detection, the recognition rate of dengue and non-dengue mosquitos can reach 100%.

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