肝斑是一種色素沉著過度皮膚紊亂的症狀，由於在陽光照射皮膚的區域會導致表皮層中黑色素細胞過度的活躍，然而產生淺色至深褐色的斑點和斑塊，因此黑色素細胞的觀察和檢測是醫生分析之前的主要程序。
在這篇論文中，我們根據細胞本質的特徵運用於上下文比對的方法，來檢測表皮層中的黑色素細胞，這可以提供一致性與精確的結果，有助於評估與診斷。除此之外，我們提出方法藉由連結度分析與移動視窗統計分析進行電腦輔助診斷，在不同的疾病類別中，觀察三倍頻顯微影像來檢測黑色素細胞與細胞分佈特徵之間的關係，實驗結果顯示黑色素細胞影響周圍細胞分佈的不一致，還可以有效的處理大量體內虛擬切片影像，以提供定量和客觀的生物信息。

Melasma is the common hyperpigmentary skin disorder that can cause bright and dark brown macules and patches on sun‐exposed areas of the skin owing to hyperactivity of epidermal melanocytes. Correspondingly, melanocyte detection and subsequent observation are principle procedures conducted by physicians.
In this thesis, we utilize methodology of contextual comparison based on intrinsic cell characteristics to detect epidermal melanocytes, which can provide consistent and accurate results for assisting the assessment of diagnosis. In addition, we propose the method of computer-aided diagnosis via connectivity and moving window statistical analyses, which evaluate the relationship between detected melanocytes and the characteristics of the intercellular distribution in the third harmonic generation image. The experimental results show the inconsistent distribution of cells around melanocytes in different disease categories, while processing of an adequate number of in vivo virtual biopsy images provides quantitative and objective bio-information.

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