霍夫变换可以检测直线，矩形和圆，这里是检测圆形程序，很不错(Hough transform can detect lines, rectangles and circles, here is the detection of circular procedures, very good)

本代码是瞳孔检测，利用高斯平滑减小噪声，直方图均衡化增强对比度，二值化突出眼睛的特征，Hough变换画圆找瞳孔。本代码是利用QT做的界面，经过试验，效果良好。可直接使用。(This is pupil track.We employ Gaussian Smoothing to decrease noise, and equlazation histogram to enhance contrast, and binaryzation to prominent eyes' feature, and

利用霍夫变换快速检测直线或圆，但是首先对图像进行边缘检测，霍夫变换输入为边缘二值图像(Hough transform is used to detect straight lines or circles, but first, edge detection is carried out, and Hough transform is used as edge two valued image)

利用Hough(霍夫)变换检测图片中的圆，并进行分割(Detection of circles in images by Hof transform)