zernike

利用svm算法分类图像。示例中：将篮球场和网球场利用算法自动分类，包含了基于颜色矩的彩色图像特征提取算法(image classification using SVM algorithm)

图像质量评价，基于梯度的算法，适合初学者学习，其中有曲线拟合部分。(Image quality evaluation, gradient-based algorithm, suitable for beginners to learn, which curve fitting part.)

采用分水岭算法对图像进行分割。直接对图像进行分水岭算法，效果并不理想。本方法使用形态学重建技术对前景对象进行标记，求局部极大值，最终将分割好的图像进行伪彩色显示，让结果更加明显。适用于较复杂的图像分割处理。(Using watershed algorithm for image segmentation. Watershed algorithm for image directly, the effect is not ideal. This method uses morphological reconstruction technique foreground object is marked, find local maxima, eventually dividing good pseudo-color image display, make the results more apparent. Applicable to more complex image segmentation processing.)

二值图像连通域分析，和MATLAB中bwlabel函数功能相似(Connected domain analysis of binary image, and bwlabel similar function in MATLAB)

对局部放电进行小波变换模式识别，解决放电破坏设备问题(Wavelet Transform Pattern Recognition for Partial Discharge)

使用ROEWA算子对有噪声SAR图像进行边缘检测(Use ROEWA operator of noise SAR image edge detection)

说明：  用matlab实现的insar处理软件。(Using matlab to achieve the InSAR processing software.)

说明：  本程序提出了变步长自适应滤波算法的步长调整原则:即在初始收敛阶段或未知系统参数发生变化时,步长应比较大,以便有较快的收 敛速度和对时变系统的跟踪速度 而在算法收敛后,不管主输入端干扰信号v ( n) 有多大,都应保持很小的调整步长以达到很小的稳态失调噪声. 根据变步长公式编的程序，很有参考价值. (This procedure, a variable step adaptive filter algorithm step adjustment principle: that in the initial convergence phase or unknown system parameters change, the steps should be relatively large in order to have fast convergence speed and time-varying systems tracking speed in convergence, no matter the main input interference signal v (n) how much should be adjusted to maintain a small step to achieve a small steady state misadjustment noise. compiled according to the formula variable step procedure useful reference.)

用于图像分类的源代码，深度学习的应用，cnn卷积神经网络的使用，可以自己更换数据集或者调优，适合初学者使用！(For image classification of the source code, the application of in-depth learning, cnn convolutional neural network, you can replace the data set or tuning, suitable for beginners!)

鼠标移动到哪里 就显示那里的颜色像素值