Sparsity-Collaborative-Track

图像处理中的多尺度分割程序，使用matlab开发环境(Image processing procedures for multiscale segmentation)

易语言动画地图编辑器源码，易语言写的图形图像编程，很好的参考。(Easy language animated map editor source code, easy graphic language programming, a good reference.)

针对FCM算法的运行时间长和计算量大的问题，提出了改进的FCM算法，先将图像分割成窗口大小的子块，然后以子块为单位提取特征向量，用FCM聚类粗分割，然后对边缘子块，以像素为单位从新提取特征向量，进行细分割。分割后的结果提高了运行速度和分割精度。(For the FCM algorithm and the calculation of long run the problem of large proposed improved FCM algorithm, first image into blocks the size of the window, and then sub-block feature vector extraction unit, using FCM clustering coarse partition, and then block on the edge, in pixels from the new Feature Extraction, for fine segmentation. Improve the segmentation results after the speed and accuracy of segmentation.)

一个基于模糊阈值的图象分割,是基于MATLAB编程的,希望对大家有所帮助!(a threshold based on the fuzzy image segmentation is based on MATLAB programming, we want to help!)

网格简化， 将复杂的带有很多细节的物体的三维立体网格进行任意比例的简化，使得其减少点和面片的数量并保持物体的基本特征，以达到加快图像显示及压缩文件的效果。(Mesh simplification, the complex three-dimensional grid with many of the details of the object simplified in any proportion, such that it reduce the number of points and surfaces of the sheet and keep the basic characteristics of the object, in order to achieve the speed up of the image display and the effect of the compressed file .)

各种图像处理技术举例。其中原代码可以直接使用，非常不错。(various image processing technology, for example. The original code which can be used directly, very good.)

全变差图像去噪，用的分裂Bregman迭代算法，分别用到了L1,、L2、和Lp范数来做的，其中在L1模型中还用到了高斯赛德尔迭代和收缩算子，(Total variation image denoising, with split Bregman iterative algorithm, respectively, used in the L1,, L2, and Lp norm to do, which is also used in the L1 model iterations and high Sisaideer contraction operator)

说明：  本程序为傅里叶变换，给定初始时域波形，可得到对应频域波形。可出图(The program is Fourier transform. Given the initial time-domain waveform, the corresponding frequency-domain waveform can be obtained. Drawing out)

压缩感知Matlab代码实现，图像压缩采样，OMP重构(Compressed sensing code, image compression sampling, OMP reconstruction)

对形图像的经过边缘提取后得到的二值图像边缘进行细化，提取单像素的边缘，使得边缘是成为清楚的单像素的边缘。(After images of the shape after the edge extraction of the binary image to refine the edge, the edge extraction of a single pixel, making the edge is to be clear of the edge of a single pixel.)