本論文為了幫助偵測神經元的活動表現，提出了一個自動檢測樹突棘突及對準時移影像的方法。我們利用影像色調重整來切割樹突神經元影像，再來使用了基於Delaunay三角形的中軸提取法來找出樹突神經的中軸。利用中軸與邊緣的空間關係來辨認出棘突。對於時移影像，我們利用疊代最近點演算法做對準。最後，在靜態與時移二種影像上比較了本論文提出的方法和手動標記的結果。

In this paper, we present a method to automatically detect the dendritic spines and register time-lapse images of dendrite for facilitate investigation of neural functions. To segment dendritic spines, tone reproduction is adopted. The Delaunay triangulation based centerline extraction is used to extract dendritic backbones. The dendritic spines are detected according to the space relationship between backbones and spines. We employ iterative closest point method to register the time-lapse data. Comparison results are also made for both static and time-series data between the proposed and manual results.

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