Hough

模拟闪变仪，用于检测电压波动与闪变，满足IEC推荐的平方检测法。(Analog Flickermeter for detecting a voltage fluctuation and flicker, meet IEC square detection method recommended.)

CV模型水平集代码，包括图片、代码和运行结果(The level set evolution function of the CV model)

包括harris经典算法、harris-Laplace算法，以及susan算法，鲁棒性好(Harris, including the classic algorithm, harris-Laplace algorithm, as well as susan algorithm, better robustness)

根据D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis 以及 C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.这两篇文献提供的方法编写的图像分割代码，作者是 Chris M. Christoudias, Bogdan Georgescu，代码经我看了后加了丰富的中文注释，希望可以给各位带来阅读上的方便。 基于meanshift的聚类分割方法包括滤波、区域融合等操作，通过调整sigma和sigmar来调整分割效果。(According to D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis, and C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision. These two documents prepared by the methods provided by image segmentation code , the author is Chris M. Christoudias, Bogdan Georgescu, after I read the code, add a rich Chinese notes, hoping to bring you the convenience of reading. Segmentation method based on clustering meanshift including filtering, regional integration and other operations, and by adjusting the sigma sigmar to adjust segmentation results.)

Real-time foreground–background segmentation using codebook model 了解码书进行图像处理(背景与前景)的原理，可以从该文章中获得有益的参考价值(Real-time foreground–background segmentation using codebook model A practical paper for knowing of image processing theory(about foreground-background) by codebook)

方向梯度直方图的全部代码，广泛应用于行人检测行人检测(Histogram of Oriented Gradients code Pedestrian Detection)

通过低通滤波器，实现对图像的平滑处理，使得图像的对比度变低，具有膨胀的效果。(Low-pass filter, to achieve smoothing of the image, so that the image contrast is low, having an expansion effect.)

伯克利图像小组提出来的图像分割评价指标：边界误差。(Evaluation of image segmentation. Image: Berkeley group boundary error.)

idl 可视化分析与应用（随书程序），详细的程序与应用。(idl visualization analysis and application (with the book procedures), the detailed procedures and applications.)

用Visual C++实现基于数学形态学的数字图像处理,包括二值图像的腐蚀,膨胀,开,闭,细化及中轴变换等运算.(Visual C++ using mathematical morphology-based digital image processing, including binary image erosion and dilation, opening, closing, thinning, and the central axis transform operations.)