compare_segmentations

ostu图像分割阈值算法,对Ostu图像分割最优阈值进行优化处理，极大缩短了搜索图像阈值计算时间，与传统的枚举法Otsu方法相比,在计算时间上具有显著的优点。(ostu threshold image segmentation algorithm for image segmentation Ostu optimal thresholds to optimize the processing, greatly reduces the search image thresholding computation time, with the traditional enumeration method Otsu methods, in the calculation of time has significant advantages.)

说明：  基于Robert算子、Sobel算子、Prewitt算子、Log算子、Canny算子的边缘检测代码(Edge detection code based on Robert operator, Sobel operator, Prewitt operator, LOG operator and Canny operator)

本文提出了一种新的快速自适应加权中值滤波算法以提高中值滤波算法的性能。(A new fast adaptive weighted median filtering algorithm is proposed to improve the performance of the median filtering algorithm.)

在基于的图像分割方法中，CV模型是一个非常重要模型。这是其实现ＭＡＴＬＡＢ源代码。(Based image segmentation method, CV model is a very important model. This is the MATLAB source code for its implementation.)

视频异常行为检测，可以实现，使用matlab编程(Video abnormal behavior detection can be achieved using matlab programming)

说明：  Vibe 运动目标检测 基于matlab(Vbie Moving Target Detection)(Vibe moving target detection based on MATLAB (vbie moving target detection))

说明：  一种实现超分辨率图像处理的新算法,本算法在综合前人算法的基础上，做了很大改进。很适合图像处理。(An implementation of the new super-resolution image processing algorithms, the algorithm in integrated algorithm based on the predecessors has done a lot of improvements. Very suitable for image processing.)

将meanshift算法思想融入harris角点检测算法中，通过设置门限终止迭代漂移，亚像素级别地进行角点检测。(The mean shift algorithm ideas into a corner detection algorithm, terminate the iteration drift, carried out by the sub-pixel level corner detection limit by setting the door.)

图像频率域滤波程序，课程设计作业，获优秀，完全自主开发，包含搞通滤波、低通滤波、带通滤波以及方向滤波。含ＧＵＩ(image frequency domain filtering procedures, curriculum design work, outstanding, fully self-development, including engaging pass filtering, low-pass filtering, band-pass filtering and filtering direction.- GUI)

改进后的非线性各向异性扩散用于图像中的保边去噪，增加了二阶导数，是滤波效果更好(Improved nonlinear anisotropic diffusion for edge preserving image denoising, an increase of second derivative, is a better filtering effect)