sfun_mppt_vinc

说明：  matlab实现视频中动态目标跟踪，跟踪动态目标，确实效果很好(matlab implementation of dynamic video target tracking, tracking dynamic target is indeed good results)

带有完全匹配曾的声波方程正演，从2阶精度到8阶精度可选(Had the acoustic wave equation forward with an exact match, optional 2 order accuracy to 8 order accuracy)

已知一图像的轮廓，计算该轮廓质心，并标注在图上(A known the outline of image, the contour centroid calculation, and marked on the map )

图像加密算法本文讨论了基于现代密码体制的图像加密、基于矩阵变换的图像加密、基于混沌的图像加密、基于秘密分存的图像加密、基于频域的图像加密、基于ＳＣＡＮ 语言的图像加密和基于 ＤＮＡ 计算的图像加密等主流图像加密算法的加密原理、优缺点和最新进展(This paper discusses image encryption algorithm based on modern cryptography, image encryption based on matrix transform, image encryption based on chaotic image encryption based on secret sharing based on frequency domain image encryption, image encryption, image encryption based on SCAN language and DNA based on the calculation of image encryption and other mainstream image encryption algorithm, encryption principle the advantages and disadvantages and the latest progress)

说明：  基于区域的分裂合并图像分割方法，包含三个m文件，predicate是分裂合并准则代码，split_test用于检测是否需要分裂，splitmerge用于分裂合并(Region Based Split Merge image segmentation method, including three m files, predict is the splitting and merging rule code, split_ Test is used to detect whether splitting is needed, and splitmerge is used for splitting and merging)

Colored-Noise Kalman Filter for Vibration Mitigation of Position Attitude Estimation Systems

图像处理中常用到的二十多个基本算法的源代码，如图像变换、灰度变换、图像滤波、锐化、边缘检测、阈值分割、边界提取、边界跟踪等(Commonly used in image processing to more than twenty basic algorithm source code, such as image conversion, gray-scale transformation, image filtering, sharpening, edge detection, threshold segmentation, edge detection, boundary tracking)

PCNN实现降噪的不错 PCNN是很好的自动分割工具 PCNN是很好的自动分割工具(PCNN是很好的自动分割工具，)

ZIGZAG程序，实现对图像矩阵ZIGZAG顺序读取。通常作为函数调用。还有就是霍夫曼编码的程序，得到图像霍夫曼的编码(ZIGZAG procedures ZIGZAG image matrix to achieve the order read. Usually as a function call. There is the Huffman code procedure, the image encoding Hoffman)

halcon代码 ，对图像添加高斯噪声 椒盐噪声(halcon code, add the image Gaussian noise impulse noise)