bianyuantiqu

基于旋转运动的微多普勒模型的建立，对于了解微多普勒的学习者有帮助。(The establishment of micro-Doppler model based on the rotational motion, help learners understand the micro-Doppler.)

说明：  进一步讨论怎么样进行虹膜眼睛的位置确认，区域生长法确定内圆轮廓(To further discuss how to confirm the position of the iris eye and determine the inner circle contour by region growth method)

单帧图像超分辨率重建。对于学习超分辨率重建很有帮助。(Super-resolution reconstruction of single frame image.It is helpful for learning super-resolution reconstruction.)

说明：  去卷积 图像复原 去卷积操作 matlab(deconvolution Image restoration)

通过高斯、指数、瑞利、gamma、pearson、weibull模型分别对同质区域的SAR图像的强度分布进行拟合(The intensity distributions of SAR images in homogeneous regions are fitted by Gauss, exponential, Rayleigh, gamma, Pearson and Weibull models respectively.)

基于改进的F-S error diffusion算法对彩色图像位数降为8色。其中分配系数采用动态系数(Based on the F-S error diffusion algorithm to improve the color image figures down to 8 colors. The distribution coefficient by using the dynamic coefficient)

读取raw图，并转换为rgb图，显示转换后的rgb图(Figure raw read and convert rgb showing the converted diagram rgb)

距离多普勒成像算法，包含运动补偿距离徙动回波构造距离压缩方位压缩(Distance Doppler imaging algorithm, including motion compensation distance migration echo structure compression compression azimuth compression)

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)

压缩感知的MRI算法实现,使用matlab,可以直接运行,压缩包内有图片(Compressed sensing MRI algorithm, using MATLAB, can be run directly, compressed packets have pictures.)