3Otsu

说明：  Ostu分割方法实现 根据原理编写Ostu程序，对cameraman灰度图片进行分割；并对获得的前景与背景，分别再进行一次分割；(Implementation of Ostu segmentation method According to the principle, the Ostu program is compiled to segment the gray image of cameraman, and the foreground and background are segmented again;)

说明：  有关图像处理中的图像校正，MATLAB，亲测可行(ImageRegistration matlab)

文章讲述了一种基于多边形的优化排样方法，结合不规则件特征确定了零件排放的最佳位置，给出了排料规则库的设计，通过排料空间的边界组织和边界更新，形成了新的排样空间。 (Article describes a polygon-based layout optimization method combined with irregular parts on characters of the part the best place to discharge given row of the design rule base material, the border by nesting space organization and boundary updates, formed The new layout space.)

shp 全国村镇边界数据

说明：  matlab下使用帧差法实现视频跟踪，提供了一个测试视频和完整的说明文档 已验 无错 放心使用 改一下视频路径即可(matlab to use the frame difference method for video tracking, provides a test video and full documentation is error-free ease of use experience to change the path to your video)

基于matlab实现干涉显微镜图像重构中的二维解包裹函数。( QualityGuidedUnwrap2D implements 2D quality guided path following phase unwrapping algorithm. Inputs: 1. Complex image in .mat double format 2. Binary mask (optional) Outputs: 1. Unwrapped phase image 2. Phase quality map This code can easily be extended for 3D phase unwrapping. Technique adapted from: D. C. Ghiglia and M. D. Pritt, Two-Dimensional Phase Unwrapping: Theory, Algorithms and Software. New York: Wiley-Interscience, 1998. Posted by Bruce Spottiswoode on 22 December 2008 2010/07/23 Modified by Carey Smith)

1维LBP算法，在一维上做LBP算法，用于提取微表情特征(1-dimension LBP，abstract microfacial expression features)

说明：  基于hessian矩阵的FrangiFilter，用于图像增强,常用于影像图像血管增强(FrangiFilter based on hessian matrix, which is used for image enhancement, is often used for image enhancement of blood vessels.)

史上最快人脸检测系统（超越OpenCV）

基于模糊对比度的图像增强方法，大致过程仍然是先把图像从空间域映射到模糊域，在模糊域内通过定义一个局部对比度算子，然后通过对凸函数的加强来放大像素邻域的各像素之间的差异。 (Based on the fuzzy contrast image enhancement method, the general process is still the first images from space domain is mapped to the fuzzy field in fuzzy field through the define a local contrast operator, and then the convex function to enlarge the strengthening of pixels each neighborhood pixel differences. )