有关vtk的一些pdf资料，包括： 1.和国外一些朋友讨论VTK的一些经验的整理 2.基于VTK的医学三维可视化分析系统 3.基于VTK库的医学图像...

亮度增减：对图像 的亮 度进 行增 加或减 小-Increase or decrease in brightness: the brightness of the image to increase or decrease the

常用的数字图像处理算法实现，都是用标准Ｃ语言实现的，绝对经典-commonly used digital image processing algorithm has been used standard C language, absolute classic

基于OpenCV的图像匹配程序，可达到亚象素，对图像匹配有很大的帮助！-OpenCV-based image matching procedure, can achieve sub-pixel of the image matching has a great help!

1.达芬奇图像处理平台总体开发情况 2.non-xdm算法-1. Leonardo da Vinci image processing platform for the overall development of algorithms 2.non-xdm algorithms

图像处理的效果源代码，很不错 图像处理的效果源代码，很不错-The effect of image processing source code, very good deal with the effects of the image source code, very good

ITK 是美国国家卫生院下属的国立医学图书馆投入巨资支持三家科研机构开发 医学影像分割与配准算法的研发平台，现已开发了初步版本。是医学影像算法平台的 重要组成部分。 -Itk are affiliated with the United States National Institutes of Health National Library of Medicine invest huge sums of money to support the three research institutions to develop medical image segmentation and registration algorithm R

mia-2.0.0-beta1a-guid 好像是医学图像的 有pdf-mia-2.0.0-beta1a-guid seems to be of medical images pdf

实现图像的各种变换、增强、拼接、运动检测、特征提取、分割、识别等操作-Realize a variety of image transformation, enhancement, stitching, motion detection, feature extraction, segmentation, identification and other operating

为BMP图像处理的程序，包括图像显示，灰度拉伸，二值变换，滤波等-image process program

介绍了视觉颜色空间及其在交互式图像分割中的作用, 实验分析了它的奇异性, 在此基础上, 考虑像素的 空间和色彩分布, 提出了基于区域生长法的多颜色空间、 多度量准则的聚类算法和零碎区域的合并算法, 颜色空间选取HSL 和RGB 两种, 相似性度量包括了种子点、 扩张点和生长区域三个方面, 并用于敦煌壁画图像的分割.-Introduce the visual color space and its application in interactive image segmentation of the role, experimental analysis of its singularity, on this basis, taking into pixel space and color distribution, based on region growing multi-color space, multi-metric criteria clustering algorithm and fragmented region merging algorithm, select the HSL color space and RGB are two similarity measure, including the seed point, the expansion point and the three aspects of regional growth, and for image segmentation in Dunhuang murals.