Region-Grow

kalman是视频跟踪的几本算法，本算法就是一个kalman的很好的应用例子！(video tracking kalman several algorithms, this algorithm is an application of kalman good example!)

这是一篇毕业论文基于小波图像去噪的方法研究(This is a thesis research methods based on wavelet image denoising)

FDK重建算法，是CT三维重建的解析方法，是近似重建(FDK reconstruction algorithm, which is a CT three dimensional reconstruction analysis method, is the approximate reconstruction )

说明：  gui界面设计，进行图像的一般处理，如旋转，加噪，直方图均衡化等(gui interface design, the general image processing, such as rotation, noise, such as histogram equalization)

说明：  （1）图像基本操作：不同格式（大于3种）图像的读入与存盘、文字叠加、不同彩色空间的转换、图像的DCT及FFT变换等； （2）图像增强：包括直方图拉升（线性和非线性）、直方图均衡、平滑与锐化（采用不同的滤镜），美颜（加分项）； （3）图像恢复：几何操作（如旋转、缩放、投影校正等）、模糊恢复（如运动模糊消除等，加分项）； （4）图像合成（加分项）：实现换头、换背景、图像拼接等功能。((1) Basic operation of image: reading and saving of images in different formats (more than 3 kinds), text superposition, conversion of different color spaces, DCT and FFT transformation of images, etc; (2) Image enhancement: including histogram lifting (linear and non-linear), histogram equalization, smoothing and sharpening (using different filters), beauty (bonus item); (3) Image restoration: geometric operations (such as rotation, scaling, projection correction, etc.), blur restoration (such as motion blur elimination, etc., plus points); (4) Image synthesis (Bonus): realize the functions of head changing, background changing, image splicing, etc.)

基于GA和MP的信号稀疏分解,算法速度比元来的有很多改进。(Based on GA and MP sparse signal decomposition, the algorithm faster than the yuan to have many improvements.)

说明：  用水平集做的 MRI大脑图像分割 内有用法说明 （带图形界面）(To do with the level set within the MRI brain image segmentation instructions (with graphical interface))

说明：  图像处理基础程序,主要针对遥感影像处理。内含各种基础处理源码(matlab ,imagine analisy)

系统地分析了各向异性扩散方法的理论基础，并提出了边缘保留与基于结构张量的各向异性扩散算法(Systematic analysis of the theoretical basis of anisotropic diffusion method, and proposed to retain the edge of the structure tensor based anisotropic diffusion algorithm)

图像增强里的小程序，有中值滤波，平滑处理还有频域增强(Image Enhancement in the small procedures, median filtering, smoothing also enhanced the frequency domain)