RL(Richardson-Lucy)

说明：  使用LazySnapping算法对GrabCut算法进行改进(There are advanced segmentation algorithms in the literature which extends the concepts of graph cuts. Most prominent of them are Graph cuts and Lazy Snapping. Lazy napping is an interactive image cut out tool. Lazy Snapping separates coarse and fine scale processing, making object specification and detailed adjustment easy.)

本书主要讲述如何使用Visual C++进行数字图像处理。全书对常用的数字图像处理算法进行了介绍。(This book focuses on how to use Visual C++ digital image processing. The book is commonly used digital image processing algorithms were introduced.)

这里不但有标准的局部二值模式的代码，还有局部二值模式的一些扩展代码！(err)

matlab序贯相似性检测算法源代码。比模板相似性检测算法高效。(Sequential similarity detection algorithm matlab source code.Than template similarity detection algorithm is efficient.)

本代码主要应用于图像压缩，代码包括采用二维离散余弦变换（DCT）进行图像压缩、采用小波变换进行图像压缩以及基于小波变换与混沌排序图像加密压缩、解密重构 hundungen 是ex3的子程序：产生混沌序列(This code is mainly used in image compression, including the use of code dimensional discrete cosine transform (DCT) for image compression, image compression using wavelet transform and wavelet transform compression and chaotic image encryption based sorting, decryption reconstruction)

说明：  信息隐藏里LSB隐写方案的RS分析方法，附有详细注解。(Information hiding in LSB Steganography Scheme RS analysis, with detailed notes.)

非锐化掩膜,用于DR图像的对比度增强算法，这只是一个简单的算法过程，(unsharp masks)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为ROMP算法，对256*256的lena图处理，比较原图和ROMP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间 (Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and ROMP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using ROMP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

hough和randon函数求图像中圆，对于水中气泡检测效果很不错(Circle detection based on random Hough transform)

蚁群算法实现医学图像的分割，同时对比FCM算法，非常有用，可以直接运行，包含测试MRI图片(Ant-Colony algorithm for MRI image segmentation including MRI image for testing.)