Gaussian-filtering

this code is for the paper of image segmentation based on level set methods. in this paper improves Tony Chan s paper and improves the speed.

本程序使用dcmtk库，可以显示大部分的DICOM图像。非压缩、压缩黑白图像以766灰阶显示，彩色图像正常显示。 对于初用dcmtk库的开发者来说，入门较难，本程序已使用VC6工程将主要库加入工程中，可以参考本工程的设置。另外，对于高于8位的黑白图像，本程序也提供一个处理方法的参考。(This procedure used dcmtk library, you can see that the majority of the DICOM image. Non-compressed, compressed to 766 gray-scale black-and-white images show that color image display. Dcmtk library used for the early developers, the entry more difficult, the procedure has been in use for the main library VC6 project will join the project, can refer to the project settings. In addition, higher than the 8-bit black-and-white images, the program also provides a reference method.)

说明：  INSAR相位解缠算法，使用的python语言，枝切法进行相位解缠。(INSAR phase unwrapping algorithm, using python language, branch cut method for phase unwrapping.)

说明：  可以将txt文件中的某一列数据进行提取出来，然后进行图像制图(You can extract a column of data from the txt file and then do image mapping)

说明：  这是我编写的关于计算机视觉中的一种重要的变换---射影变换的matlab源代码，希望对您有用。(This is what I prepared on computer vision in an important transformation of the projective transformation--- matlab source code, I hope useful for you.)

将含多个目标的图像减去背景图，再将所得图进行阈值化处理得二值图像，再对二值图像进行标记，然后跟含多个目标的图像进行处理，对这个图像进行多目标标记(Containing a plurality of target image by subtracting a background image, and the resulting graph threshold processing binary image to be marked, then the binary image, and then processed with an image containing a plurality of target, this image multi-target mark)

说明：  adpmedfilt3.m为自适应中值滤波器函数； adpmedfilt3_test.m为利用上述自适应中值滤波器函数进行中值滤波，同时与普通中值滤波器滤波结果对比； 其余为基础图像处理函数； image文件中为实验图像kl.jpg；(adaptive median filter to filt images)

matlab区域增长图像分割程序，通过种子点搜索邻域的方法进行增长(matlab image segmentation procedures for regional growth)

传统的HSV空间颜色特征提取算法，量化为8H3S3V.(HSV color space for the traditional feature extraction algorithm, to quantify 8H3S3V.)

k均值聚类，类数可以自行指定，输出散点图，红色十字为聚类中心(K-means clustering, the class number can be specified on its own, the output scatterplot chart, and the Red Cross for clustering center)