本論文將數個需要給定分群數量的監督式Fuzzy C-Means分群演算法，評估出最適合的分群數量，以達到非監督式Fuzzy C-Means分群演算法為目的。在本論文中採用以可程式化圖形處理器為設計平台，利用高度的平行計算能力使平行模糊分群演算法能同時運算多個Fuzzy C-Means分群演算法，並利用Xie-Beni之分群評估方法，找出最佳的分群數量。此外，本論文將非監督式Fuzzy C-Means分群演算法應用於動態影像之物件偵測，找出動態影像上有移動的物件，達到動態影像可分析之結果。由實驗結果顯示，本論文所提出的系統架構能夠快速且並有效地的將非監督式Fuzzy C-Means分群演算法應用於序列影像的移動偵測(Motion Detection)

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