FCM_Sparse

gongzhenQ.m:计算双稳态随机共振系统输入输出信信噪比增益，非常明显的随机共振现象。，已通过测试。 (gongzhenQ.m: calculation of the stochastic resonance of bistable stochastic resonance system input output signal SNR gain, it is clear. , Has been tested.)

实现了图像的加水印，去噪，加噪声等功能，基于kaiser窗的双谱线插值FFT谐波分析，用于建立主成分分析模型。( Realize image watermarking, de-noising, plus noise and other functions, Dual-line interpolation FFT harmonic analysis kaiser windows, Principal component analysis model for establishing.)

易语言仿彗星真彩PNG按钮源码，易语言写的图形图象编程，很好的参考。(Easy language imitation comet true color PNG button, easy graphics programming language to write, a good reference.)

用奇异值分解的方法实现图像压缩，有助于初学者了解奇异值分解的应用(Using singular value decomposition method to achieve image compression will help beginners understand the application of singular value decomposition)

说明：  边缘特征的提取就是求图像梯度的局部最大值和方向。实际计算中，以微分算子的形式表示，并采用快速卷积函数来实现。常用的算子有微分算子，拉普拉斯算子，Canny算子等。其中Canny边缘检测是一种较新的边缘检测算子，具有较好的边缘检测性能，得到越来越广泛的应用。Canny边缘检测法利用高斯函数的一阶微分，它能在噪声抑制和边缘检测之间取得较好的平衡(Edge feature extraction is to seek the local maximum of image gradient and orientation. The actual calculation to the form of differential operator representation, and using fast convolution function to achieve. Commonly used operators are differential operators, Laplace operator, Canny operator and so on. Canny edge detection which is a relatively new edge detection operator, and has good edge detection performance, get more and more widely used. Canny edge detection method using first derivative of Gaussian function, it can in the noise suppression and edge detection to achieve a better balance between)

说明：  利用全卷积神经网络，实现图像的语义分割，基于tensorflow的keras可以直接运行(Using the full convolutional neural network to achieve semantic segmentation of images, keras based on tensorflow can be run directly)

转载一个基于FCM的图像分割matlab源代码，初学者可以参考。(Reprint of an FCM-based image segmentation matlab source code, can refer to beginners.)

说明：  包括pca和lda两个文件，先用pca降维后进行lda进行分类，用于人脸识别，实验结果很好。(It includes 2 files pca and lda. After the dimensionality reduction of pca, use lda for classification in face recognition. It has a very good experimental results.)

vtk建立三维模型

说明：  图像处理，通过matlab程序实现视频插帧的功能(Image processing and video frame insertion through MATLAB program)