some-program-in-matlab

常规的中值滤波器，在噪声的密度不是很大的情况下效果不错。但是当概率出现的概率较高时，常规的中值滤波处理后，仍然具有噪声点，并丢失了细节和边缘，效果不是很好。 自适应中值滤波器可以尽可能的保护图像中细节信息，避免图像边缘的细化或者粗化。(The conventional median filter works well when the noise density is not very large. However, when the probability of probability is high, the conventional median filter still has noise points, and the details and edges are missing. The result is not very good. The adaptive median filter can protect details in the image as far as possible and avoid thinning or coarsening of the image edges.)

3种分别基于选择、交叉、模拟退火的混合粒子群算法，matlab编程。(Were based on three kinds of selection, crossover, hybrid particle swarm simulated annealing algorithm, matlab programming.)

L0梯度最小化算法，2011年由xuli提出的算法(L0 gradient minimization algorithm, in 2011 xuli put forward the algorithm )

实现非均匀傅里叶变换代码，可用于石油地震勘探、航空航天、图像处理，电子电工方向。(Achieve non-uniform Fourier Transform code, can be used for seismic exploration, aerospace, image processing, electronics and electric direction.)

求灰度图像的梯度特征向量，以便用于目标检测(The grad feature of gray image can be achieved by the code.)

本科毕设要求参见标准测试模型，均值便宜跟踪的示例，利用最小二乘算法实现对三维平面的拟合。( Undergraduate complete set requirements refer to the standard test models, Example tracking mean cheap, Least-squares algorithm to fit a three-dimensional plane.)

很详细的Harris算法讲解~~~包括非最大值抑制的算法~自适应~~(Harris algorithm is very detailed explanation ~ ~ ~ including non-maximum suppression algorithm ~)

在做图像处理时用遇到图像的阈值分割，这是几种图像的阈值分割方法(In doing image processing with experience image threshold segmentation, which is one of several image thresholding segmentation method)

说明：  多目标跟踪，动态背景下实现多目标跟踪算法，算法优良，实时性和鲁棒性都比较好(Tracking, dynamic context to achieve multi-target tracking algorithm, algorithm quality, real-time and better robustness than)

说明：  基础SAD算法代码，最基本的图像匹配处理方法，也是最常用的基本法，有助于新手理解(Basic sad algorithm code)