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可以计算图像的信噪比，适合初学者使用，采用matlab编写(Can calculate the signal to noise ratio images, suitable for beginners to use, using matlab)

本程序的作用，完成了一种图像的DDE算法，数字图像细节增强。(The role of this procedure, the completion of an image of the DDE algorithm, digital image detail enhancement.)

利用基于直方图的自适应阈值方法实现分割前景与背景(Segmentation of foreground and background using histogram-based adaptive threshold method)

该压缩包里包括了一幅图像的位平面解，即一幅灰度图像可以分成八个位平面。利用它可以转化到彩取色图像中去，很有用处的。(The bag includes a compressed image bit-plane solution, that is, a gray image can be divided into eight bit-plane. Use it can be transformed into the color check color images, and useful.)

说明：  数字图像处理 初学者可以参考学习 包含图像增强 直方图处理 滤波等(MATLAB_digit_processing_code)

基于MATLAB的车牌识别系统的源代码(可以实现)(The source code of the license plate recognition system based on MATLAB (can be realized))

C# 旋转图片并显示 RotateFlip 实例

1．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( 1. Using Matlab generated sine wave, square wave, and the white noise signal, and displays the respective time-domain waveform 2. The FFT transform, showing each spectrum, where the sampling rate, frequency, data length choice 3. Rms signal to make the three maps, power spectra, as well as the number of rms spectra 4. With the inverse Fourier transform IFFT restore the signal and displays the recovered time-domain waveform sinusoidal signal)

该代码采用opencv环境来实现灰度投影估计电子稳像算法，能够很好地解决视频序列抖动问题。(The code uses the opencv environment to achieve the gray projection algorithm, which can solve the problem of video sequence jitter.)

图像的预处理程序，包括边缘去噪、二值化、腐蚀等。为车牌定位作铺垫(image preprocessing procedures, including marginal denoising, the two values, and corrosion. To pave the way for positioning plates)