资源列表
glaux
- OPENGL编程必备OPENGL编程必备OPENGL编程必备
bcs-spl-1.2-1.tar
- 应用压缩感知理论的图像恢复Matlab算法代码-The application image compression perception theory Recovery Matlab algorithm code
code
- 图像边缘提取有很多经典算法。经典算法多利用边缘检测算子，即利用图像边缘的突变性质来检测边缘。基于sobel的边缘检测源码-Image Edge Extraction many classical algorithm. The classical algorithm more use edge detection operators, namely the use of the nature of the mutation of the edges of the image to detect t
isnns10p23
- Segmentation of structure in medical images is an important research topic. It has applications in patient diagnoses, image-guided surgery, and medical data visualization. One approach to solving this problem is the use of active contours or \s
OpenCV-video-detection-and-tracking
- 基于OpenCV的视频道路车辆检测与跟踪，包含程序，已调试通过-Based the OpenCV video road vehicle detection and tracking
regiongrow
- matlab实现区域生长法图像分割，分割结果比较理想-matlab region growing image segmentation, segmentation results
ar0207
- ods can be put into a level-set framework using a Lipschitz function for automatic topology changes. Both models are discussed in detail and validated with numerical results. Medical Imaging: Segmentation Michael Wasilewski 1 Introduction
OpenGL_fly
- VC++中利用OpenGL实现三维飞机的飞行-a plane fly program by Opengl
A251
- ods can be put into a level-set framework using a Lipschitz function for automatic topology changes. Both models are discussed in detail and validated with numerical results. Medical Imaging: Segmentation Michael Wasilewski 1 Introduction
MICCAIworkshopCVII
- The segmentation of structure from 2D and 3D images is an important rst step in analyzing medical data. For example, it is necessary to segment the brain in an MR image, before it can be rendered in 3D for visualization purposes. Segmentation
Watson-moudle
- 立体图像质量评价基于左右视点和深度的两种方法-Stereoscopic iamge quality assessment based on 1-D quality assessment and depth assessment
FibDetectICCP
- The segmentation of structure from 2D and 3D images is an important rst step in analyzing medical data. For example, it is necessary to segment the brain in an MR image, before it can be rendered in 3D for visualization purposes. Segmentation