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PCNN源代码,此为简化PCNN模型的实现原代码。(the source code of pcnn)

实现非负ICA的盲源分离，可用于对图像等非负混合信号的分离(Non-negative ICA blind source separation, can be used for the separation of mixed-signal images and other non-negative)

说明：  基于MATLAB语言，计算两幅图像峰值信噪比和均方差。(Computing Peak Signal-to-Noise Ratio and Mean Variance of Image)

遥感图像分类描述，有代码，也有图像，用Matlab实现(Remote sensing image classification description, code, there are images, achieved with the Matlab)

图像预处理的过程彩色图像去噪，彩色图像增强，彩色图像锐化(Image pre-process color image denoising, color image enhancement, color image sharpening)

极化SAR图像多纹理最大似然处理滤波算法，可以生成处理后的四个通道图像数据。(Multi-polarization SAR image texture filtering deal with maximum-likelihood algorithm, can be generated after the deal with the four-channel image data.)

说明：  一、课题介绍 本设计为基于MATLAB的火焰烟雾火灾检测系统。传统的采用颜色的方法，误识别大，局限性强。结合火焰是实时动态跳跃的，采用面积增长率，角点和圆形度三个维度相结合的方式判断是否有火焰。该设计测试对象为视频，通过下一帧和上一帧的差异发现是否有火情，并可发出语音报警。本设计带有一个人机交互式GUI界面，界面友好。是个不错的bishe选题。 二、算法流程 结合火焰的面积增长率，角点和圆形度三个维度综合判断。并且得出每帧图像火焰部分的该三个参数，实时显示在GUI上。 三、GUI界面设计(This design is based on MATLAB flame smoke fire detection system. The traditional method of using color has large error recognition and strong limitation. Considering that the flame is real-time and dynamic jumping, the area growth rate, corner and roundness are combined to determine whether there is flame. The test object of the design is video. Through the difference between the next frame and the previous frame, whether there is fire is found and the voice alarm can be sent out. This design has a personal computer interactive GUI interface, the interface is friendly. It's a good choice for BiShe.)

canny边缘检测，还有车道线检测。效果还可以。(canny edge detection, and lane detection. The effect can be.)

说明：  该算法的功能是实现时频分析中多种分析方法后续处理中的图像压缩功能，进一步提高图像的时频分辨率(The function of the algorithm is to realize the image compression function in the subsequent processing of various analysis methods in time-frequency analysis, and further improve the time-frequency resolution of the image)

说明：  GS算法，图像经过多次傅里叶变换，最后提取图像的相位信息，加载空间光调制器，观察图像。(GS algorithm, the image after several Fourier transform, and finally extract the phase information of the image, loading the spatial light modulator, the observed image.)