roadline

本件包含四种二维高通滤波器，他们分别是基于汉宁窗，布莱克曼，凯泽窗和巴特利特窗设计的二维高通滤波器。(This piece contains four two-dimensional high-pass filter, they are based on Hanning, Blackman, Kaiser window design windows and Bartlett two-dimensional high-pass filter.)

变分法基础pdf 基本理论知识，希望对大家打下理论基础，(this is basic theory for math.)

C#写的绘图板，实现了直线，矩形，圆形，多边形，曲线和文字输入，可以任意的拖动所画的图形。(C# to write the drawing board to achieve a straight line, rectangle, circle, polygon, curve and text input, you can drag the drawing arbitrary graphics.)

利用MATLAB实现NSCT非下采样轮廓波变换(Realization of Nonsubsampled Contour Transform by Using MATLAB.)

【实例简介】 里面包含了DataGrid与ListBox的从主表样式设计，并绑定好数据，还有拓展菜单显示和隐藏-还有状态灯样式-系统托盘设计

说明：  整理了五种多曝光图像融合的代码，用于图像处理，图像去雾，有英文介绍(Five kinds of multi-exposure image fusion codes are sorted out.For image processing, image defogging, with English introduction)

图像去模糊处理的matlab源程序，附带源图片。是在经典图像模糊化的基础上进行恢复的，不是盲恢复(Image to fuzzy treatment matlab source, and with the source images. In classic blur image is conducted on the basis of the recovery, not blind recovery )

图像分割在医学图像，智能识别上的应用，虹膜识别(Image segmentation in medical imaging, intelligent recognition on the application of iris recognition)

说明：  (1)利用matlab函数进行噪声模拟，并用matlab自带函数进行图像滤波。 (2)利用给定图像自己编程实现使用均值滤波器、中值滤波器对不同强度的高斯噪声和椒盐噪声，进行滤波处理，并对结果进行评价分析，并解释结果。 (3)自己编程实现laplacian算子图像的处理，实现图像增强；编程实现sobel算子对图像边缘提取。将结果与matlab自带函数计算结果比较。 (4)利用模糊处理对图的灰度值进行改变实现灰度增强，并与直方图均衡结果比较((1) Matlab function is used to simulate noise, and Matlab function is used to filter image. (2) Using the given image, we use the mean filter and median filter to filter the Gaussian noise and salt and pepper noise with different intensities, evaluate and analyze the results, and interpret the results. (3) The image processing of Laplacian operator and image enhancement are realized by programming Sobel operator is used to extract image edge. The results are compared with those of MATLAB. (4) Fuzzy processing is used to change the gray value of the image to achieve gray enhancement and balance with histogram)

说明：  实现给定图像中目标的有效监测，并根据颜色对目标分割。(The object can be detector, and it is segmented by the color.)