下载的代码

FDK的C++代码,对于图像重建的人来说有用的哦(FDK s C++ code for image reconstruction for people who useful )

水平集(level set)的基本思想是将界面看成高一维空间中某一函数ψ（称为水平集函数）的零水平集，同时界面的演化也扩充到高一维的空间中。我们将水平集函数按照它所满足的发展方程进行演化或迭代，由于水平集函数不断进行演化，所以对应的零水平集也在不断变化，当水平集演化趋于平稳时，演化停止，得到界面形状。(The level set (level set) the basic idea is to interface as a higher dimensional space in a function (called a level set function) of the zero level set, and the interface evolution also extended to higher dimensional space. We evolve or iterate the level set function according to the evolution equation it satisfies. Because the level set function keeps evolving, so the corresponding zero level set is also changing. When the level set evolves to a stable state, the evolution stops, and the interface shape is obtained.)

改进的分水岭算法，利用基于重建的开闭算法，有效的解决了过分割问题，尤其适用与医疗血细胞的分割问题(Improved watershed algorithm, based on the reconstruction of the opening and closing algorithm, effectively resolved the issue of over-segmentation, in particular with the medical application of the division of blood cells)

程序包括三种经典的边缘检测方法，均可独立运行，参数可调(Program includes three classical edge detection methods can be run independently, adjustable parameters)

说明：  区域生长法进行图像分割，通过选取合适的种子点，将感兴趣区域分割出来。(The region growing method is used for image segmentation, and the region of interest is segmented by selecting appropriate seed points.)

最邻近插值的matlab实现代码，可以对图像进行插值，插值的方法为最邻近插值法(The nearest neighbor interpolation matlab code, image interpolation, interpolation methods nearest neighbor interpolation)

完成流程编码和huffman编码，适合做图像编码的熵编码，只要调整接口就好。(Complete the process encoding and huffman coding, image coding suitable for entropy coding, as long as the adjustment of the interface is like.)

matlab code for the v shape recognition in heart shape

一种基于惯导信息的多普勒波束锐化图像拼接算法(A Doppler beam sharpening image stitching algorithm based on inertial navigation information)

说明：  边缘特征的提取就是求图像梯度的局部最大值和方向。实际计算中，以微分算子的形式表示，并采用快速卷积函数来实现。常用的算子有微分算子，拉普拉斯算子，Canny算子等。其中Canny边缘检测是一种较新的边缘检测算子，具有较好的边缘检测性能，得到越来越广泛的应用。Canny边缘检测法利用高斯函数的一阶微分，它能在噪声抑制和边缘检测之间取得较好的平衡(Edge feature extraction is to seek the local maximum of image gradient and orientation. The actual calculation to the form of differential operator representation, and using fast convolution function to achieve. Commonly used operators are differential operators, Laplace operator, Canny operator and so on. Canny edge detection which is a relatively new edge detection operator, and has good edge detection performance, get more and more widely used. Canny edge detection method using first derivative of Gaussian function, it can in the noise suppression and edge detection to achieve a better balance between)