边缘提取和轮廓跟踪算法，用visual c＋＋写的

本例主要是采用opencv进行的细胞个数的识别，效果较好-Opencv in this case is mainly used for the identification number of cells, the effect well

利用vc实现图像的融合,包括一些经典的图像融合算法和主成分分析实现图像的融合.-use vc image fusion including some classic image fusion algorithms and principal component analysis image integration.

mix 快速图象分割 内含4个Matlab应用程序

可运行，具有ppt和实验报告的指纹识别系统！大家可以参考一下！-lt s very good!

这是一个用matlab语言编写的小波变换的程序，是时频分析的一种，可以在时域和频域内对信号进行分析。-using Matlab language of the wavelet transform procedure is time-frequency analysis of a kind in the time domain and frequency domain analysis of the signal.

给定2个点坐标，计算其连线与水平方向的夹角，夹角范围[0,2*pi]-failed to translate

用Hough变换方式检测图像中的圆，vc++可以实现-use Hough transform methods for detection of the image, round can be achieved vc

SIFT算法C语言原程序,有需要的可以下载了,好东西哦!-sciences algorithm C language program, the need to be downloaded, the good stuff!

基于轮廓的形状特征提取 1)该程序在VC＋＋6.0下编译通过； 2)测试图片说明：（图像路径名请在main函数中fp=fopen("1.bmp","rb")中设定） 64×64 24bit BMP： 图像1、2用来验证旋转图像识别；图像1、3用来验证平移图像识别；图像1、4用来验证缩放图像识别； 120×120 24bit BMP： 图像5、6用来验证平移图像识别；图像7、8用来验证旋转图像识别； 3)结果说明： MCS.dat保存了Mountain Climbing Sequence。 -Based on the outline of the shape feature extraction 1) the program in VC 6.0 under the compiler through 2) Test Photo Caption: (image path name in the main function fp = fopen (1.bmp, rb) set) 64 × 64 24bit BMP: image 1,2 to verify rotating image recognition image 1,3 to verify translational image recognition image 1,4 to verify scaling image recognition 120 × 120 24bit BMP: images used to verify translational 5,6 image recognition images 7,8 rotate images used to verify identification 3) The results indicate that: MCS.dat preserved Mountain Climbing Sequence.

用水平集和形态学结合的方法分割图像，主要用于对比度低的医学图像，效果较好-Using level set and morphological segmentation with the method of combining images, mainly for low-contrast medical images, better