Hough轉換在電腦視覺且影像處理上扮演非常重要的角色。它主要是用來偵測一已知物體形狀的位置正方向大小，特別在有雜訊及形狀微變時適用。本文首先對它做一簡單的介紹，提出二統計方法來解決其參數估計問題及量化問題。最後討論一下其他相關統計問題及進一步研究方向。

Hough transform plays a very important role in computer vision as well as image processing. It is used for the detection of a known ob ject and the estimation of the object's orientation and location, when there are noises and distortions in the images. This paper first gives a brief introduction of Hough transform, and then proposes two statistical methods for solving the problem of estimating the shape parameters and also the problem of quantizing the parameter space. Finally a brief discussion of related statistical problems and further research directions.