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應用影像處理計算生乳體細胞數之研究

The Study on Somatic Cell Count of Raw Milk Using Image Processing

摘要


生乳體細胞數的計算對生乳品質與乳牛是否罹患乳房炎而言是一重要指標。本研究最主要的目的是利用電腦數位影像處理技術,將已進行染色之生乳切片,置於放大400倍之顯微鏡下取像,以影像分割及數學形態學等處理技術,再以體細胞面積為判斷生乳體細胞之標準,實驗結果顯示,以影像處理法與人工鏡檢之結果相比較,其95%信賴區間的相對誤差的平均值為7.52~8.82%,對於減少人為誤差與縮短檢驗時程有相當大的助益。

並列摘要


Somatic cell count of raw milk is an important index to determine the quality of raw milk and whether a cow is infected by mastitis. The major purpose of this study was to provide a criterion for identifying the somatic cell of raw milk with the area of cell. The raw milk was firstly stained on a slice, magnified as 400 under microscopy, acquired as color images with image processing board. Finally, digital image processing approaches such as segmentation and mathematical morphology were applied to identify the correct somatic. Experimental results revealed that the average of relative errors within 95% confidence interval between image processing and manual counting were 7.52~8.82%. Therefore, the proposed method greatly reduced manual inspection error and time in the somatic cell counting of raw milk.

被引用紀錄


陳宸効(2009)。介電泳型生物晶片檢測儀光學模擬與性能分析〔碩士論文,國立屏東科技大學〕。華藝線上圖書館。https://doi.org/10.6346/NPUST.2009.00200
戴志軒(2013)。應用機器視覺於塑膠瓶蓋瑕疵檢測〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0006-2207201312165700

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