资源列表
texture_rendering
- 借助GPU的纹理内存实现体绘制（纹理加速体绘制），由VTK实现，绘制效果非常好。-With the GPU texture memory to achieve volume rendering (texture acceleration volume rendering) by VTK implementation, rendering the effect is very good.
real-time-Segment
- 借组VTK实现的实时交互分割，可以分割出任意方向的二维切片显示，在实现效果上非常好，但是交互速度较慢。-By the group to achieve real-time interactive segmentation VTK can be divided in any direction 2D slices show that achieving the effect is very good, but the interaction is slow.
a
- 对高斯噪声和椒盐噪声图像的中值滤波，均值滤波，拉普拉斯算子检测边缘等-Gaussian noise and salt and pepper noise image median filter, mean filter, Laplacian edge detection, etc.
Untitled8
- 对图像进行高斯滤波，巴特沃斯滤波，理想滤波等，并分析振铃效应-Gaussian filtering of images, Butterworth filter, ideal filtering and analyzing ringing effects
xinxilun
- 计算图像的信息熵，并转换成灰度图计算互信息比较图像相似程度等-Calculate the image information entropy, and converted into a grayscale image similar to the calculation of mutual information comparing the degree of
fly-butterflies
- 在桌面飞来飞去的蝴蝶，异形窗口例子，适合初学者入门。-Flying butterflies on your desktop, shaped window examples for beginners.
QQValidationCodeRecognition
- 字符验证识别练习，可进行字符拆分，比如验证码、车牌号、身份证号等字符的识别与拆分，使用了比较多的外部类库，比如AForge.Controls.dll、AForge.Genetic.dll、AForge.MachineLearning.dll等，并配合有XML文件供参考-Character Verification recognition exercises, can be split characters, such as the verification code, license plate
seperate
- 使用拟合曲线的斜率对图像灰度值的变化进行处理，得到移动物体出现时刻。附有检测数据。-Using the slope of the curve fit of the image gray value changes, to give time moving objects. With test data.
CDDchengxu
- 关于图像修复的程序，适合初学者学习借鉴.使用CDD对于图像的修复，包含程序和原图-About the image restoration procedures, suitable for beginners to learn. Using CDD for image restoration, including procedures and artwork
sichashufenceng
- 数字图像处理和分析技术：图像四叉树分层实验-Digital image processing and analysis techniques: images quadtree delamination test
pattern1_b
- 开集测试。用前20个人的前5张图像作为训练，剩下的图像作为测试。也就是说总共有100张图片和300张测试图像。注意，这时候，后20个人并没有出现在训练集中，需要给出一个合理的拒识方式来判断某张图像是否在训练的20个人中。请设计一个合理的拒识方式（最简单的方式是对测试图像到训练图像的最近距离设定一个阈值），并给出ROC曲线（在a问的前提下选择一个合理的K来做，不一定要考察K的影响）。-Open set tests. 20 individuals with the former image as t
pattern2_a
- 闭集测试。用每个人的前5张图像作为训练，剩下的5张图像作为测试。给出用fisherface方法得到的识别率。-Closed set tests. With each of the first five images for training, the remaining 5 images as a test. Obtained by the method given by fisherface recognition rate.