unsharp_masking

多分辨率灰度和旋转不变纹理分类与定位二进制模式(multiresolution gray scale and rotation invariant texture classification with location binary patterns )

针对FCM算法的运行时间长和计算量大的问题，提出了改进的FCM算法，先将图像分割成窗口大小的子块，然后以子块为单位提取特征向量，用FCM聚类粗分割，然后对边缘子块，以像素为单位从新提取特征向量，进行细分割。分割后的结果提高了运行速度和分割精度。(For the FCM algorithm and the calculation of long run the problem of large proposed improved FCM algorithm, first image into blocks the size of the window, and then sub-block feature vector extraction unit, using FCM clustering coarse partition, and then block on the edge, in pixels from the new Feature Extraction, for fine segmentation. Improve the segmentation results after the speed and accuracy of segmentation.)

2009年CVPR最佳论文,何恺明的基于暗通道的图像去雾的相关论文，ppt以及matlab代码. Dark channel prior 是一种对无雾的图像的统计规律：在无雾图像中，大部分图像块中至少有一个颜色通道具有很小的颜色强度值。利用dark channel prior，可以直接从一幅有雾的图像中估计出雾的浓度，并恢复出高质量的去雾图像。(CVPR best paper in 2009 (He Kai Ming Single Image Removal Haze is the Using the Dark Channel) paper, ppt and the matlab code, it is)

这是一个关于鲁棒的多传感器图图像配准程序的算法可直接使用。 (This is a robust multi-sensor chart image registration procedures of the algorithm can be used directly.)

基于粒子滤波与改进水平集的人手跟踪论文，论文中详细介绍了手势分割的实现算法(Based on particle filter and improve the level set of hand tracking paper, paper introduces the realization of gesture segmentation algorithm)

fcm 及快速fcm实现图像分割，还带有GUI界面(fcm fcm and fast image segmentation, but also with GUI interface)

说明：  一个基于样例的图像修补技术的matlab演示(A sample-based image repair technology demo matlab)

说明：  图像重建算法当中的FDK、ART和TV算法，以及算法评估的SSIM和MSE的评估代码(FDK, ART and TV algorithms in image reconstruction algorithms, and the evaluation codes of SSM and MSE for algorithm evaluation)

打开bmp位图文件 彩色转灰阶 直方图均衡 直方图规定 灰阶线性化(Open the bmp grayscale bitmap image binarization functions connected domain extraction features)

用数字图像处理主要是为了修改图形,改善图像质量,或是从图像中提起有效信息,还有利用数字图像处理可以对图像进行体积.(Using digital image processing is mainly graphics in order to modify and improve the image quality, or from the image to bring effective information, as well as the use of digital image processing can be carried out on the image size.)