Compressive-Classifier

说明：  matlab编写的纹理图像分割，用c-v模型进行图像分割(matlab prepared texture image segmentation, cv model using image segmentation)

图像边缘检测算法，采用小波图像边缘检测的算法实现边缘检测(Image edge detection algorithm, using wavelet edge detection)

缺陷检测，顶帽变换，底帽变换，halcon，可以直接使用(Defect detection, top hat transformation, and bottom cap transform, Halcon, can be used directly)

使用frequency-tuned saliency算法计算图像的saliency值，基于此saliency值将图像中的显著区域提取出来。(Using frequency-tuned saliency saliency value of image algorithm, based on the saliency value of the significant image area extracted.)

MPPT algorithm INC method

非局部平均，用来去除灰度图里面的噪声，效果明显(Probability Non-Local Means)

说明：  本rar文件是图像超分辨率重构的网络模型RCAN的代码，可以成功运行(This rar file is the code of the image super-resolution reconstruction network model RCAN, which can be run successfully)

用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图 (Using Matlab generated sine wave, rectangular wave, as well as the white noise signal, and display their respective time-domain waveform of Figure 2. FFT to transform, showing their frequency spectrum, including sampling rate, frequency, data length of 3-on-demand. Make the rms signal of the three maps, power maps, as well as the number of root-mean-square map 4. Fourier Transform IFFT with the restoration of signals, and displays the sinusoidal signal the resumption of time-domain waveform)

基于PCNN脉冲耦合神经网络的图像增强算法，改进了PCNN基本算法，相比传统图像增强算法更有效(Image enhancement algorithm based on PCNN)

winform 自定义窗体、控件