bandpassfilter

基于K均值聚类的图像分割，灰度图像分割案例，真彩图像分割案例(K-means clustering-based image segmentation, image segmentation case, the true color image segmentation case)

说明：  本程序为傅里叶变换，给定初始时域波形，可得到对应频域波形。可出图(The program is Fourier transform. Given the initial time-domain waveform, the corresponding frequency-domain waveform can be obtained. Drawing out)

人脸检测 通过肤色建立模型，和计算欧拉数开运算等一系列处理可以检测出同一张图片中的多个人脸！效果不错哦(face detection through color model building, and calculation of Euler number opened a series of processing operations can be detected with a picture of the personal face! Oh, good results)

说明：  将图像进行各个角度的旋转，以及对两幅或多幅图像进行叠加(Each rotation angle of the image, and the two or more images are superimposed)

说明：  图像的尺度不变特征特征点提取，快速提取图像的特征点(SIFT feature extraction of image)

一个改进的卡尔曼滤波器 用来进行运动目标的跟踪 (An improved Kalman filter used for tracking moving targets)

将图像从笛卡尔坐标系上转换到对数极坐标上，这样做便于将笛卡尔坐标系上存在缩放和旋转关系的图像转换成对数极坐标下的具有平移关系的图像，然后就可以用相位相关检测算法进行相关检测，得到两幅图像的相关性(Convert an image Cartesian to polar coordinates on a logarithmic, this facilitates the translation relations image with the next image conversion to a logarithmic scale and rotate relationship exists between the Cartesian coordinates polar coordinates, then you can use phase correlation detection algorithm for correlation detection, the correlation between two images obtained)

K-Means算法,不要求建立模型之后对结果进行新的预测，没有相应的标签，只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding tag, but only on the characteristics of data clustering data. The principal component analysis reduces the dimension, carries on the visualization operation to the data, reduces the dimension to the features.)

编程实现灰度图像的几种常用的边缘检测算法，包括：梯度边缘检测算法、Roberts边缘检测算法、Sobel边缘检测算法、拉普拉斯边缘检测算法、canny边缘检测算法、Prewitt边缘检测算法和Krisch边缘检测算法。

自己编译的小波矩特征提取matlab代码(Wavelet moment to compile the feature extraction matlab code)