image-retrieval-source-program

K近邻(KNN)平滑滤波器算法，包括椒盐噪声和高斯白噪声下平滑处理的结果(K-Near Neighbor (KNN) Smoothing Filter Algorithms, Including Smoothing Processing Results under Salt and Pepper Noise and Gauss White Noise)

GS算法中的HIOER函数，可以再自行编写的主程序中进行调用(GS algorithm HIOER main function, you can then write in their own call)

图像处理中经常要用到的提取方向特征的gabor滤波程序(gabor filter map)

Add noise processing, Various kalman filter design, There are reference Oh.

说明：  Ostu分割方法实现 根据原理编写Ostu程序，对cameraman灰度图片进行分割；并对获得的前景与背景，分别再进行一次分割；(Implementation of Ostu segmentation method According to the principle, the Ostu program is compiled to segment the gray image of cameraman, and the foreground and background are segmented again;)

说明：  K均值作为图像分割的经典算法，新手必学算法。利用K均值进行图像分割，关于分类个数可以进行人为设定。(As a classical algorithm for image segmentation, k-means is a must-learn algorithm for beginners. The k-means is used for image segmentation, and the number of classification can be set artificially.)

基于数学形态学的顺序滤波源程序，可以更改。(Mathematical Morphology order filtering source, can be changed.)

实现对图像的经验模态分解，得到经验模态分解后的第一层IMF分量，反映了图像的主要信息，去除冗余信息，为识别提供了基础。(Empirical mode decomposition of image, obtain the empirical mode decomposition of the first layer of IMF component, reflected the main information of the image, to remove redundant information, provide the basis for identification. )

包括最原始的分数阶微分方法，自适应分数阶微分法，非整数步长的方法。对学习分数阶微分的人是个很好的资料代码。(It includes the most original fractional differential method, adaptive fractional differential method, and non integer step length method. It is a good data code for people learning fractional differential.)

otsu算法实现，可以自适应获取阈值，对图像进行二值化。里面配有图像均衡化的程序一起使用，效果更好(otsu algorithm, you can get adaptive threshold for image binarization. Which is equipped with image-based program used in conjunction with a balanced, better)