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Description: 实现二维基本图元直线段生成的基本算法（DDA，中点法，Bresenham）实现二维基本图元圆弧/椭圆圆弧生成的基本算法（中点法）实现对线型线宽的属性的控制实现二维多边形扫描转换的扫描线算法实现二维多边形扫描转换的边缘填充算法或栅栏填充算法实现二维连通区域填充的扫描线种子填充算法（四连通或八连通）实现二维直线段裁剪的Cohen-Sutherland裁剪算法和中点分割裁剪算法-basic 2D linear map of the yuan generated by the basic algorithm (DDA, the midpoint method, Bresenham) basic 2D map yuan Arc / elliptical arc generated by the basic algorithm (midpoint) to achieve linear linewidth control of the attributes of 2D polygon scan conversion algorithm scanning 2D polygon scan conversion Edge geo-filling algorithm fence or filling algorithm regional connectivity filled two-dimensional scanning lines seed filling algorithm (four or eight connectivity connectivity ) 2D linear cut of the Cohen-Sutherland cutting midpoint segmentation algorithm and cutting algorithm
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Size: 228823 |
Author: 张伟 |
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Description: 各种分割算法的实验
包括阈值分割，多阈值分割，二维最大熵分割等-various experiments, including the threshold segmentation, multi-threshold segmentation, 2D Maximum Entropy segmentation
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Size: 96063 |
Author: 赵赵 |
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Description: Automatic Image Segmentation using 2D Multistage Entropy
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Size: 1646691 |
Author: zhu |
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Description: 实现二维基本图元直线段生成的基本算法（DDA，中点法，Bresenham）实现二维基本图元圆弧/椭圆圆弧生成的基本算法（中点法）实现对线型线宽的属性的控制实现二维多边形扫描转换的扫描线算法实现二维多边形扫描转换的边缘填充算法或栅栏填充算法实现二维连通区域填充的扫描线种子填充算法（四连通或八连通）实现二维直线段裁剪的Cohen-Sutherland裁剪算法和中点分割裁剪算法-basic 2D linear map of the yuan generated by the basic algorithm (DDA, the midpoint method, Bresenham) basic 2D map yuan Arc/elliptical arc generated by the basic algorithm (midpoint) to achieve linear linewidth control of the attributes of 2D polygon scan conversion algorithm scanning 2D polygon scan conversion Edge geo-filling algorithm fence or filling algorithm regional connectivity filled two-dimensional scanning lines seed filling algorithm (four or eight connectivity connectivity ) 2D linear cut of the Cohen-Sutherland cutting midpoint segmentation algorithm and cutting algorithm
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Size: 228352 |
Author: 张伟 |
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Description: 各种分割算法的实验
包括阈值分割，多阈值分割，二维最大熵分割等-various experiments, including the threshold segmentation, multi-threshold segmentation, 2D Maximum Entropy segmentation
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Size: 96256 |
Author: 赵赵 |
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Description: Using Chan-Vese model to segment 2D image -Using Chan-Vese model to 2D image segment
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Size: 27648 |
Author: jie |
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Description: Automatic Image Segmentation using 2D Multistage Entropy
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Size: 1646592 |
Author: zhu |
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Description: 15篇光流配准经典文献，目录如下：
1、A Local Approach for Robust Optical Flow Estimation under Varying
2、A New Method for Computing Optical Flow
3、Accuracy vs. Efficiency Trade-offs in Optical Flow Algorithms
4、all about direct methods
5、An Introduction to OpenCV and Optical Flow
6、Bayesian Real-time Optical Flow
7、Color Optical Flow
8、Computation of Smooth Optical Flow in a Feedback Connected Analog Network
9、Computing optical flow with physical models of brightness Variation
10、Dense estimation and object-based segmentation of the optical flow with robust techniques
11、Example Goal Standard methods Our solution Optical flow under
12、Exploiting Discontinuities in Optical Flow
13、Optical flow for Validating Medical Image Registration
14、Tutorial Computing 2D and 3D Optical Flow.pdf
15、The computation of optical flow
-15 light流配quasi-classical literature, the directory is as follows: 1, A Local Approach for Robust Optical Flow Estimation under Varying2, A New Method for Computing Optical Flow3, Accuracy vs. Efficiency Trade-offs in Optical Flow Algorithms4, all about direct methods5, An Introduction to OpenCV and Optical Flow6, Bayesian Real-time Optical Flow7, Color Optical Flow8, Computation of Smooth Optical Flow in a Feedback Connected Analog Network9, Computing optical flow with physical models of brightness Variation10, Dense estimation and object-based segmentation of the optical flow with robust techniques11, Example Goal Standard methods Our solution Optical flow under12, Exploiting Discontinuities in Optical Flow13, Optical flow for Validating Medical Image Registration14, Tutorial Computing 2D and 3D Optical Flow.pdf15, The computation of optical flow
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Size: 14508032 |
Author: zhangji |
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Description:
在特征提取阶段，研究了PCA, 2DPCA, (2D) 2PCA, DiagPCA, DiagPCA-F-2DPCA等多
种方法。不同于基于图象向量的PCA特征提取，由于2DPCA, (2D) ZPCA, DiagPCA和
DiagPCA-I-2DPCA的特征提取都直接基于图象矩阵，计算量小，所以特征的提取速度明
显高于PCA方法。-In the feature extraction stage, the study of the PCA, 2DPCA, (2D) 2PCA, DiagPCA, DiagPCA-F-2DPCA and other methods. Vector is different from the PCA-based image feature extraction, as 2DPCA, (2D) ZPCA, DiagPCA and DiagPCA-I-2DPCA the feature extraction are directly based on image matrix, a small amount of calculation, so the speed of feature extraction method was significantly higher than PCA .
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Size: 45056 |
Author: 付采 |
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Description: code matlab gvf for 2d segmentation
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Size: 1024 |
Author: rescator |
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Description: 分割是在MRI analysis.We的基本问题之一，同时考虑了多种MR图像分割，其中，例如，可能是一个系列的问题经过一段时间的扫描相同的组织（的2D/3D）图像，图像的数量，或不同的切片图像的对称部分。 MR图像的多是分割份额常见的结构信息，因此他们可以协助彼此分割的程序。我们提出了一个贝叶斯共同分割算法在共享的信息整个图像是通过利用马尔可夫随机场前，和吉布斯采样后采样是有效的聘用。由于我们的共同拉动分割算法考虑到所有的图像信息的同时，它提供比个人更准确和坚实的结果分割，如支持从模拟和实际结果的例子。-Segmentation is one of the basic problems in MRI analysis.We consider the problem of simultaneously segmenting multiple MR images, which, for example, could be a series
of (2D/3D) images of the same tissue scanned over time,different slices of a volume image, or images of symmetric parts. The multiple MR images to be segmented share
common structure information and hence they are able to assist each other in the segmentation procedure. We propose a Bayesian co-segmentation algorithm where the shared information
across images is utilized via a Markov random field prior, and a Gibbs sampler is employed for efficient posterior sampling. Because our co-segmentation algorithm pulls
all the image information into consideration simultaneously,it provides more accurate and robust results than the individual
segmentation, as supported by results from both simulated and real examples.
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Size: 812032 |
Author: 命运 |
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Description: 给出了基于2D-OTSU算法的PCNN自动循环迭代源代码，用于图像分割，效果良好。-PCNN code for image segmentation based on 2D-OTSU
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Size: 2048 |
Author: 辛国江 |
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Description: 原始snake matlab 源碼，簡單版- seg = localized_seg(I,init_mask,max_its,rad,alpha,method)
Inputs: I 2D image
init_mask Initialization (1 = foreground, 0 = bg)
max_its Number of iterations to run segmentation for
rad (optional) Localization Radius (in pixels)
smaller = more local, bigger = more global
alpha (optional) Weight of smoothing term
higer = smoother
method (optional) selects localized energy
1 = Chan-Vese Energy
2 = Yezzi Energy (usually works better)
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Size: 140288 |
Author: 王節宣 |
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Description: The basic snake segmentation (2d and 3d). A snake is an active (moving) contour, in which the points are attracted by edges and other boundaries. To keep the contour smooth, an membrame and thin plate energy is used as regularization.
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Size: 39936 |
Author: Leon |
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Description: Fast continuous max-flow algorithm to 2D/3D image segmentation developed in matlab, C and GPU
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Size: 2300928 |
Author: lsx |
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Description: Otsu 2维分割的源代码，编程语言是Matlab，可以实现分割功能-Otsu 2D Segmentation,using Matlab
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Size: 1024 |
Author: 周雨蓉 |
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Description: 这个是2D-DWT的函数，是haar小波
c是图像像素矩阵 steps是变换的阶数-This is a function of Haar, is 2D-DWT wavelet
C is the image pixel matrix steps is the order of the transformation
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Size: 11264 |
Author: li |
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Description: Optimization of Quadtree Segmentation and Hybrid 2D and 3D Motion Estimation in a Rate-distortion Framework
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Size: 310272 |
Author: Vania |
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Description: 实现2维最大类间方差的图像分割，运行速度快，有代码注解。。。。。。。。。。。
实现2维最大类间方差的图像分割，运行速度快，有代码注解。。。。。。。。。。。(To achieve the 2 largest inter class variance image segmentation, fast running, there are code notes..........)
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Size: 1024 |
Author: TUDU
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Description: FCM WITH 2D CLUSTERING AND LEVEL SET METHOD
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Size: 447488 |
Author: azmeera
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