TextureML

课程设计 基于matlab的工件图像尺寸测量技术(The course design is based on matlab the workpiece image size measurement techniques)

利用多用方法进行数字图像去模糊实例，便于初学者理解反卷积去模糊、伪逆去模糊等基本算法(Example scripts for image debluring, try to give general introduction of some basic algorithms, such as pseudo inverse debluring.)

相关图像算法包括大律法分割，梯度分割，分水岭分割，活动轮廓，最小生成树，相关基因算法(Great Law Segmentation, Gradient Segmentation, Watershed Segmentation, Active Contour, Minimum Spanning Tree, Related Gene Algorithms)

GUI的指纹特征提取,其中用到的处理函数可以自己编写，也可以直接使用Matlab的库函数(Fingerprint character extract in GUI form, within which the functions can be either designed by users or apply the available functions in Matlab)

粒子滤波算法，综述，学习文档以及算法程序，包括PF,EKPF,UKPF，以及不同的重采样方法(This file is about algorithm of particle filtering, including codes and tutorial.)

频率步进matlab仿真:包括模糊图的生成，距离像的生成及允余去除拼接，最后还有雷达测角的matlab仿真，包括单目标及多目标(Frequency Step matlab simulation: including fuzzy map generation from the generation and Yun-I like the removal of splicing and, finally, the radar angle measurement of matlab simulation, including the single-objective and multi-objective)

此代码为运用brovery进行像素层的融合，主要用于图像处理中的图像融合(This code is applied brovery the pixel level fusion, mainly for image processing of image fusion)

圆形图表的处理，包括大圆套小圆，双指针，针对设计仪表的初学者很有帮助(Treatment of circular charts, including the great circle sets of small round, double pointer, very helpful for beginners instrument design)

本程序包是基于多分辨率分析的图像融合算法，其中包括基于区域的融合算法。对应程序有相关的文章，是学习图像融合最有用的资料。(This package is based on the analysis of multi-resolution image fusion algorithms, including region-based fusion algorithm. Procedures related to the corresponding articles, image fusion is to study the most useful information.)

RSIHE算法（Recursive sub-image histogram equalization）。基本原理是将图像分割为等面积的2^r部分，各部分分别进行直方图均衡。文件中包含RSIHE的matlab源代码，论文，以及输入图像(RSIHE algorithm (Recursive sub-image histogram equalization). The basic principle is to image segmentation is an area of ​ ​ 2 ^ r part, the various parts of histogram equalization. File contains RSIHE matlab source code, papers, as well as the input image)