winner-

是关于图像的基础操作，包括图像倾斜矫正，图像增强，去除噪声，图像压缩等技术(It is on the image on the basis of operations, including image tilt correction, image enhancement, noise removal, image compression technology)

基于MATLAB，使用分水岭的细胞分割方法，同时可以利用这方法，进行细胞计数(Based on MATLAB, the use of watershed cell segmentation method, at the same time can make use of this method, the cell count )

对图像进行平滑去噪，提高图像的质量，为后期的图像处理打基础(very good)

KSVD图像去噪,组稀疏编码，新的去噪思路(KSVD image denoise，group spare coding)

基于区域的空间域图像融合。先对源图像作小波分解，低频分量加权平均，高频分量用模糊C均值聚类算法进行区域分割，对区域进行基于ssim值的融合，最后小波逆变换得到融合图像。(region based spatial domain method.First do the source image wavelet decomposition low frequency components weighted average of the high frequency component using Fuzzy C-means clustering algorithm region segmentation of regional integration based ssim value, and finally fused image inverse wavelet transform)

基于区域阈值的图像分割方法研究，迭代阈值法分割技术(Regional threshold-based image segmentation method, iterative threshold segmentation)

灰度图像二值化比较经典的算法，包括otsu方法和局部阈值法。(Gray image binarization more classic algorithms, including methods and local otsu threshold.)

说明：  模糊C－均值聚类算法,使用VC++与matlab 编程两种方法实现算法(Fuzzy C-means clustering algorithm, using VC++ and matlab programming algorithm in two ways)

RobustPCA 是最近提出的一种非常新的图像矩阵分解算法，该算法具有对噪声不敏感、能处理高维图像数据的特点。这是论文作者提供的 MATLAB 实现代码。(Oct 2009 This matlab code implements the augmented Lagrange multiplier method for Robust PCA. )

图像边缘提取，边缘整合，有效提取边缘，并进行填充。(Image edge detection, edge integration, effective edge extraction and filling.)