数字图像处理在人们的生活中无处不存在着它的影子，是非常流行热门的技术之一，可以说它是一种每时每刻都在改变着人类生活的技术。人们对于物体的识别主要针对于物体的外形，图像分割目的是对图像中有意义的特征部分进行提取，所谓有意义的特征包括图像中物体的外形边缘和区域等。本文主要针对其中的一个传统而经典的分割方法Hough变换而展开。Hough变换实现的是一种从图像空间到参数空间的映射关系，具有对抗噪声的鲁棒性以及在图像中的不连续性等优点，通过它构建的参数空间可以容易地对特定形状，如直线、圆等解析曲线进行判断。-Digital image processing is one of the most popular technologies today, and in our daily life everywhere has its shadow. We can say that it is a kind of all in the changing human life technology. The object recognition mainly based on the shape of the object, and image segmentation is to extract meaningful characteristic aspects of the image, the so-called meaningful features including images of objects in the shape of edge and region. This paper is expended by Hough Transform which is a traditional and classic segmentation method. The Hough transform is a mapping from the image space to the parameter space, and it has robustness to noise, as well as in the discontinuities in the image, etc. The specific shape can easily be detected through its parameter space construction, such as straight lines, circles, and other analytical curve.