一个基于帧差法的matlab行人检测程序

说明：  ：针对显微图像分析、识别需要的全自动控制显微镜，研究开发其相应的图像处理算法。提 出了能量谱自动聚焦评价函数算法、自适应选取基准图的图像拼接算法、改进 Laplacian算子的多层 聚焦图像叠合算法等。该算法模块已成功地应用于所开发的CMIAS 显微医学图像分析系统中，取得 了满意的应用效果。(【ABSTRACT】For the automatic microscope required by micro-image analysis and recognition, the relevant image processing a lgorithms are investigated. Three algorithms are described: energy-spectrum image auto focusing evaluation function, image merging based on the adaptive selection of standard image and sum-modified-Laplacian (SML) operator for multi-focus image fusion. The algorithms have been applied successfully to CMIAS medical micro-optical image analysis system and testified to be feasible and effective. )

SURF算法为SIFT算法的改进，运算速度得到了很大的提高。本资料为基于MATLAB的SURF算法实现，对图像匹配的研究方向会有一定帮助。(SURF algorithm SIFT algorithm, computing speed has been greatly improved. MATLAB based on the information of the SURF algorithm for image matching the direction of the research will certainly help.)

精心收集博士生编写的图像分割源代码，可以在matlab环境下使用。(Carefully prepared collection of doctoral image segmentation source code, you can use in the matlab environment.)

图像配准主要是通过两幅图像之间的互相关的最大值来确定配准的位置，从而在另一幅图像中显示配准的图像(Image registration is mainly through the maximum cross-correlation between the two images to determine the location of the registration and registered image, which is displayed in another image)

说明：  基于hessian矩阵的眼底图像血管增强滤波(Vessel Enhanced Filtering of Eyeground Images Based on Hessian Matrix)

是一个颜色空间转换的MATLAB程序，一共有两个程序一个从RGB到YCRCB，一个是从YCRCB到RGB的程序。(Is a color space conversion of the MATLAB program, a total of two procedures from RGB to YCRCB, one is from YCrCb to RGB procedures.)

说明：  一种改进的均值聚类算法，能很好的利用与图像分割技术(k-means cluster)

fy3（hdf5格式）mersi数据投影到等经纬度(projecting fy3 mersi hdf5 format to longlat )

说明：  用MATLAB实现不规则图像的面积测量，采用像素灰度值的占比进行实现(Area Measurement of Irregular Images Using MATLAB)

说明：  实现了双线性插值、三次样条插值、B样条插值和最大阶次优化差值等传统多项式图像插值办法(Traditional polynomial image interpolation methods such as bilinear interpolation, cubic spline interpolation, B spline interpolation and maximum order optimization difference are realized.)