matlab_hough

这里包含了多种图像倾斜角度矫正的方法 其中有huogh变换 radon变换 还有常规的线性检测角度 然后矫正它(This contains a variety of image angle correction method which huogh transform the linear radon transform routine testing point of view there and then correct it)

说明：  水表图像识别 图像预处理 哈哈就不懂四周(Water Meter Image Recognition)

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：  1.使用medfilt2函数对‘lena.bmp’进行不同模板大小的中值滤波，并观察效果 2.使用fspecial函数构造‘gaussian’, ‘sobel’, ‘prewitt’, ‘laplacian’, ‘average’等不同滤波算子，使用filter2函数对‘cameraman.tif ’进行滤波，观察不同滤波器的效果 3.设计频域理想低通和理想高通滤波器，对‘phantom.bmp’图像进行频域滤波，显示滤波结果。然后改变截止频率，观察对结果的影响。 4.对‘homo.bmp’进行同态滤波，其中频域同态滤波器自行设计。要求在程序注释中说明你设计该滤波器的思想。(1' lena.bmp 'The median filtering with different template sizes was carried out and the effect was observed2. Fsspecial function is used to construct different filter operators such as' Gaussian ',' Sobel ',' Prewitt ',' Laplacian ',' average ', etc' cameraman.tif 'Filter and observe the effect of different filters3. Design ideal low pass and ideal high pass filters in frequency domain' phantom.bmp 'The image is filtered in frequency domain and the filtering result is displayed. Then change the cut-off frequency and observe the effect on the results.4. Yes' homo.bmp 'The homomorphic filter is designed by ourselves. The idea of designing the filter should be explained in the program notes.)

在matlab下的k-均值聚类进行图像分类分割处理(In matlab under the k-means clustering for image classification be dealt with separately)

HBT实验，这个实验用来测量恒星的角直径。这个算法可以对实验进行仿真(HBT experiment, this experiment is used to measure the angular diameter of stars. This algorithm can simulate the experiment)

Mikolajczyk 的特征点提取 重复性评价代码(Mikolajczyk s evaluation of feature point extraction of repetitive code)

说明：  快速的人脸特征提取算法KPCA，比普通的pca特征提取算法在效率上好了不少(Fast facial feature extraction algorithm KPCA, than ordinary PCA feature extraction algorithm in the efficiency of a good many)

gif动画制作工具，界面简洁易用，非常实用！(gif maker！)

说明：  针对一维最大类间方差算法(1-Otsu)抗噪性能较低、二维最大类间方差算法(2-Otsu)计算复杂度高、实时性差的问题,提出一种基于改进的萤火虫算法(FA)优化二维Otsu图像分割算法(FA-2-Otsu).(In order to solve the problems of low anti noise performance of 1-otsu, high computational complexity and poor real-time performance of 2-otsu, an improved firefly algorithm (FA) is proposed to optimize the 2-otsu image segmentation algorithm (fa-2-otsu).)