本篇論文提出了一個創新的植基於均值位移之直方圖等化法(MSHE)，我們所提出的方法關鍵點在於利用均值位移演算法找出非平滑區域的像素點群聚特性，利用這些特性所找出的像素點集來抑制平滑區域在直方圖上的動態範圍，在做直方圖等化時，能得到更好的影像品質。我們更進一步的提出了一套對於對比增強評估的機制，用來評量本論文以及其他六種對比增強方法，實驗結果說明我們所提出的方法在三張具有代表性的影像上，相較於其他六種現有的對比增強方法，表現的更優越。

This paper presents a novel mean-shift based histogram equalization method called the MSHE method. The key idea of the proposed MSHE method is to cluster the pixels on the non-smooth area of the image by using mean-shift algorithm and suppress the dynamic range of the histogram which is composed of the clustered pixels, and then to perform histogram equalization. Further, a contrast enhancement assessment is presented to compare the contrast effect between our method and the other six methods, which are HE, BBHE, DSIHE, RSWHE, SRHE, and GA. Based on three typical test images, experimental results indicate that our proposed MSHE method outperforms the six existing contrast enhancement methods.

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