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通过PCA+Retinex对图像进行图像增强处理(Image enhancement processing by PCA+Retinex)

shanChen两相流LBM的c版源代码，参考shanChen.m修改的，希望对不太熟悉Matlab的有所帮助(c code of liquid-liquid flow of shanchen)

光栅光谱仪利用光栅光谱仪检测不同种类镜片， 通过光栅光谱仪检测出对不同光线的透过率，从而确定其质量 (The quality of different types of lens detection using grating spectrometer, Through the grating spectrometer detected transmittance of different light, to determine its quality)

一种快速的图像拐点的matlab程序，在一张图像上用9点快速检测，要求被处理图像为2值图像。(a fast image inflection point of Matlab procedures, in an image with 9:00 rapid detection, Image processing was required for two binary images.)

MATLAB经典算法程序源代码,相当经典()

对图像进行中值滤波，代码调试通过，附有lena图像(The image is filtered by median filter, the code is debugged and passed, and the Lena image is attached.)

关于大视场的视觉标定方法，相对于目前很多近距离的标定，很有借鉴作用(tisi is a paper about fast calibration for binocular vision measuring system,and it s with a large field)

经典的小兔子、龙、马等多个点云数据，TXT格式。(Classic small rabbit, dragon, horse and other cloud data, TXT format.)

Hu的七个不变矩在图像处理，尤其是特征提取方面是很重要的一个概念。本代码实现了图像的7个不变矩的计算和输出。( Hu s 7 moment invariants is significant in image processing,especially in feature seletcion. This code calculate them.)

本程序是基于单幅图像的超分辨率算法，通过对输入的高分辨率图像进行下采样得 % 到原始低分辨率图像，对输入的低分辨率图像插值后，利用DWT将低分辨率图像分 % 解为不同的4个子带；同时直接对对分辨率图像进行SWT处理。由SWT得到的高频子 % 带来修正DWT得到的高频子带。最后，通过逆离散小波变换（IDWT）组合修正的高 % 频子带和低分辨率图像，得到输出的超分辨率图像。通过计算PSNR和SSIM评价结果。(This program is a super-resolution algorithm based on a single image, which is sampled from the high resolution image of the input. % to the original low resolution image, after interpolating the input low resolution image, the low resolution image is divided by DWT. The% solution is different 4 subbands, and the resolution image is processed by SWT. High frequency subsets obtained by SWT % brings the high frequency subband obtained by the modified DWT. Finally, the height of the combination of inverse discrete wavelet transform (IDWT) % frequency subband and low resolution image, and the output super-resolution image is obtained. The results were evaluated by calculating PSNR and SSIM.)