image_matchMatlab

最大类间方差法是由日本学者大津(Nobuyuki Otsu)于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法,简称OTSU。它是按图像的灰度特性,将图像分成背景和目标2部分。背景和目标之间的类间方差越大,说明构成图像的2部分的差别越大,当部分目标错分为背景或部分背景错分为目标都会导致2部分差别变小。(The largest between-class variance method was proposed by the Japanese scholar Nobuyuki Otsu in 1979. It is an adaptive threshold determination method, also known as the Otsu method, or OTSU for short. It is based on the grayscale characteristics of the image and divides the image into two parts: the background and the target. The larger the variance between the background and the target, the greater the difference between the two parts that make up the image. When the part of the target is wrongly divided into backgrounds or part of the background is mis-divided into goals, the difference between the two parts will be smaller.)

改进的帧间差法运动目标追踪算法,比以前的经典算法有改善，不会出现边框锁定到边远的情况(Improved inter-frame difference method moving target tracking algorithm)

一种简易有效的CT图像三维重建方法。利用MATLAB软件编写，实现CT图像的面绘制。(A simple and effective method of three-dimensional reconstruction of the CT image. Using MATLAB software development, surface rendering of the CT image.)

应用MATLAB软件编程绘制庞加莱截面图，生成皮诺曲线的过程(动画) ，分形地图，离散的蔡氏电路， 抛物线-k*x^2+(k+1)*x混沌分岔行为等。(fractal pattern)

说明：  VC图像处理，对初学者和研究者有一定的参考作用。(VC image processing, for beginners and researchers are certain references.)

使用3×1的结构元素，为防止越界，所以不处理最上边和最下边的两列像素(Using 3 × 1 structure elements, in order to prevent cross-border, so I do not deal with the most top and bottom of the two most pixels)

二维TM偏振平面波传播演进的FDTD实现。(Two-dimensional plane-wave propagation in the evolution of FDTD implementation)

基于RANDON变换的Shepp Logan人头骨模型重建仿真，希望能对学图像重建或医学图像处理的同志有所帮助(Based on RANDON transform people Shepp Logan skull reconstruction simulation model, hoping to image reconstruction for school or medical image processing comrades help)

Laplasian图像边缘提取，亲测有效，欢迎下载使用。(Edge extraction of Laplasian image)

对图像的特征向量进行降维处理，降低代码复杂性，提高目标检测准确率(The dimension of feature vectors extracted image can be reduced by the code. Also, the code complexity is decreased, accompanying with the improved precision of object detection.)