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压缩感知稀疏恢复中使用的OMP算法，matlab例程(OMP algorithm and MATLAB routine used in compressed sensing sparse recovery)

NEDI源代码，是用于超分辨率重建的，并附上原文献，希望对大家有用~(The NEDI source code for super-resolution reconstruction, together with Uehara literature, we want to ~)

关于图像分割的一个代码，最小生成树Prim算法，能够实现相应功能，拿出来与大家共享(Image Segmentation on a code, Prim minimum spanning tree algorithm, can achieve the corresponding functions, and show to share with you)

图像处理的查准率和查全率的代码，适合用于图像图像的检测，目标的检测的评估(Image processing precision and recall rate code)

说明：  (1)利用matlab函数进行噪声模拟，并用matlab自带函数进行图像滤波。 (2)利用给定图像自己编程实现使用均值滤波器、中值滤波器对不同强度的高斯噪声和椒盐噪声，进行滤波处理，并对结果进行评价分析，并解释结果。 (3)自己编程实现laplacian算子图像的处理，实现图像增强；编程实现sobel算子对图像边缘提取。将结果与matlab自带函数计算结果比较。 (4)利用模糊处理对图的灰度值进行改变实现灰度增强，并与直方图均衡结果比较((1) Matlab function is used to simulate noise, and Matlab function is used to filter image. (2) Using the given image, we use the mean filter and median filter to filter the Gaussian noise and salt and pepper noise with different intensities, evaluate and analyze the results, and interpret the results. (3) The image processing of Laplacian operator and image enhancement are realized by programming Sobel operator is used to extract image edge. The results are compared with those of MATLAB. (4) Fuzzy processing is used to change the gray value of the image to achieve gray enhancement and balance with histogram)

说明：  用于SAR图像的相干斑抑制，内有增强Lee滤波，增强Kuan滤波，增强GammaMap滤波算法，还有等效视数，边缘保持指数的求法(For speckle suppression of SAR images, there are enhanced Lee filtering, enhanced Kuan filtering, enhanced GammaMap filtering algorithm, and the calculation of ENL and EPI.)

模糊图像的去模糊处理，主要有利用hough变换估计模糊方向，利用radon变换估计模糊长度。(Blurred image deblurring process, mainly using the estimated blurring direction hough transform, radon transform using the estimated blur length.)

利用彩色蛇模型对彩色图像进行处理，即不将彩色图像分为Ｒ，Ｇ，Ｂ三个分量，而是将彩色图像视为单一簇的处理，反而会得到更好的边缘清晰度(The use of color snake model for color image processing, that is, not the color image into R, G, B three-component, but rather as a single cluster of color image processing, it will get better edge sharpness)

能够实现对生物芯片的识别和图像处理，识别有效芯片区域，读取阴性和阳性点分布和数量。(It can realize the recognition and image processing of biochip, identify the effective chip area, read the distribution and number of negative and positive points.)

详细介绍了常用的四中粒子重采样算法,并给出了他们的性能比较,对研究改进型粒子算法很有帮助,减轻很多工作负担(Details of the four commonly used particle resampling algorithm, and gives the performance of their comparison, the study of modified particle algorithm useful to reduce the burden of a lot of work)