资源列表
cvfenge
- 本程序采用半隐式方案实现变分水平集图像分割方法中的.-This program USES half implicit scheme variational level set of image segmentation method
GPU
- 采用GPU通用计算API（CUDA）实现矩阵相乘-The use of general-purpose GPU computing API (CUDA) to achieve the matrix multiplication
gibbs
- 应用gibbs随机场进行图像分割。效果较好。希望对大家有所帮助。-use gibbs image segment.wish it will help everyone.
What_Is_a_Good_Image_Segment
- 图像分割论文 难得的好论文 讲得十分好-Image Segmentation rare good thesis papers speak very good
SelectionFilter
- 主要用于一些CAD在选择过程中的，对一些选择选项和消息的过滤-This sample shows how to use the ehanced SelectionSet API to ... (1) highlight a nested entity inside of an XRef (largely as implemented in the AutoCAD 2004 ARX API). This is referred to as sub
RFcarotid
- Yu s 提出的SRAD模型中所用仿真血管超声波(ultrasound)程序.修改底图和参数可以生成自己的超声波仿真图象.感谢源程序作者Zhang fang(论文Nonlinear Diffusion in Laplacian Pyramid Domain for Ultrasonic Speckle Reduction的作者)-this program simulate US RF data of a carotid artery model using Yu s RF data simu
dmusic
- 一种实现超分辨率图像处理的新算法,本算法在综合前人算法的基础上，做了很大改进。很适合图像处理。-An implementation of the new super-resolution image processing algorithms, the algorithm in integrated algorithm based on the predecessors has done a lot of improvements. Very suitable for image process
ComputationalGeometry
- 计算几何，介绍二维、三维的图像编程算法和矢量编程-This module discusses several algorithms that calculate various geometric properties, mostly based on only two operations described below: cross product and arctangent.
phasecong2
- 提取图像的相位（模值、幅角），是比较新的内容，可以用在图像处理的多个方向。-Extraction of the image phase (modulus value, increase angle), is a relatively new content, can be used in image processing, multiple directions.
ParticleFilters
- Matlab 粒子滤波器源代码，状态估计，别且与EKF滤波器做比较-Matlab source code particle filter, state estimation, do not and compared with the EKF filter
GKIT
- 基于广义高斯模型的自动阈值选取(GKIT)，用于图像分割、图像分类。-GKIT：Threshold Selcetion Based on the Generalized Gaussian Models，for image segmentation and classification
MaximumAPosteriori
- 在统计学中，最大后验（英文为Maximum a posteriori，缩写为MAP）估计方法根据经验数据获得对难以观察的量的点估计。它与最大似然估计中的 Fisher 方法有密切关系，但是它使用了一个增大的优化目标，这种方法将被估计量的先验分布融合到其中。所以最大后验估计可以看作是规则化（regularization）的最大似然估计。 -In statistics, the maximum a posteriori (English as a Maximum a posteriori, ab