fbmpCP

用于对图像进行分割的算法的一种，对部分类型图像处理较好 (For the image segmentation algorithm a kind type of image processing on the part of good)

这个Matlab程序，可以从.OBJ文件中读取三维模型，并转换成单元体表示。同时提供了一个绘图plot函数，来可视化三维物体。 (The Matlab program can be. OBJ file to read three-dimensional model, and converted into cell precursors express. At the same time provides a mapping function plot to visualization of three-dimensional objects.)

说明：  matlab GUI 界面，全息图重建，通过改变Z和lamada可以得到-1级，0级，1级再现图(Matlab GUI interface, hologram reconstruction, by changing Z and lamada can be - 1, 0, 1 level reproduction map)

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)

vb6 project photo see edit

设置位置断点跟踪程序，VC++精选编程源码，很好的参考资料。(Set breakpoint location tracking procedures, VC++ programming source code, a good reference.)

利用小波实现图像的融合，从两幅模糊的原始图像中回复出原来的图像(Using wavelet analysis for a given image enhancement processing, after the decomposition of image, contour by the low frequency part representation, characterization details with high frequency part. )

一个基于Matlab/Simulink建模的算法:Trigger. Trigger使用移动平均和匹配滤波器对原始信号进行噪声处理和信号峰值提取，并验证原始信号的正确性。Trigger使用M-code实现，并且使用S-function封装到Simulink中。(An algorithm based on Matlab/Simulink modeling: Trigger. Trigger moving average and the matched filter noise processing and signal peak extraction of the original signal, and verify the correctness of the original signal. Trigger M-code implementation, and encapsulated in the Simulink S-function.)

图像的高斯与拉普拉斯金字塔分解，两种方法都有(Image gaussian and Laplacian pyramid decomposition, there has two kinds of method)

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.)