hsv

sobel segmentation, this algorithme has a great effect for segmenting

图像反卷积 来自D. Krishnan, R. Fergus中提到的方法(image deconvolution The Matlab functions in this directory solve the deconvolution problem in the paper D. Krishnan, R. Fergus: "Fast Image Deconvolution using Hyper-Laplacian Priors", Proceedings of NIPS 2009. )

一个简单的图像浏览器，对初学C++开发图像处理系统的朋友有启迪作用。(A simple image viewer, for beginners C++ image processing system developed friends revealing. )

利用霍夫线检测实现车道线的自动检测并判断是否偏离(Using Hof line detection to achieve automatic detection of lane line and determine whether or not to deviate the)

对灰度图像建立高斯金字塔，可以调整核的参数。(Establish Gaussian pyramid for gray-scale images to , you can adjust the reduce parameters.)

说明：  实现了双线性插值、三次样条插值、B样条插值和最大阶次优化差值等传统多项式图像插值办法(Traditional polynomial image interpolation methods such as bilinear interpolation, cubic spline interpolation, B spline interpolation and maximum order optimization difference are realized.)

利用克隆选择和粒子群算法实现图像分割 有很好的分割效果。经过多次验证实践。(Clonal selection and particle swarm algorithm has a good image segmentation segmentation. After several rounds of verification practice.)

通过PCL点云库对点云数据进行三维重建的好例子

此文件一共包含3个m文件。第一个文件的功能是绘制一个二值图像，并显示其傅立叶幅度谱。文件2功能是设计频域理想低通滤波器，并加以验证：读入一个二值图像(cameraman.tif)加噪声后在频域进行低通滤波观察滤波后的图像效果。文件3的功能是对图像eight.tif加入椒盐噪声后，实现Butterworth低通滤波.(This file contains 3 m documents. Functions of first file is to draw a binary image, and displays its Fourier amplitude spectrum. Document 2 is designed to function a frequency domain ideal low-pass filter , and verified it: reading a binary image (cameraman.tif) plus noise on it and smoothing it in the frequency domain using low-pass filtering.The filtered effect will be observed by displaying image.Document 3 is designed to read a binary image(eight.tif) and add salt and pepper noise on it, realized frequence domain Butterworth low-pass filter.)

Log整合功能. 自動整理紀錄檔部份檔案.(Log Arrange. Auto Message.)