Description: 图像处理的关于Snakes : Active Contour Models算法和水平集以及GVF的几篇文章,文章列表为:
[1]Snakes Active Contour Models.pdf
[2]Multiscale Active Contours.pdf
[3]Snakes, shapes, and gradient vector flow.pdf
[4]Motion of level sets by mean curvature I.pdf
[5]Spectral Stability of Local Deformations Spectral Stability of Local Deformations.pdf
[6]An active contour model for object tracking using the previous contour.pdf
[7]Volumetric Segmentation of Brain Images Using Parallel Genetic AlgorithmsI.pdf
[8]Segmentation in echocardiographic sequences using shape-based snake model.pdf
[9]Active Contours Without Edges.pdf
学习图像处理的人必看的几篇文章-Image Processing on the Snakes: Active Contour Models and Level Set algorithm, as well as several articles of the GVF, the list for the article: [1] Snakes Active Contour Models.pdf [2] Multiscale Active Contours.pdf [3] Snakes, shapes, and gradient vector flow.pdf [4] Motion of level sets by mean curvature I.pdf [5] Spectral Stability of Local Deformations Spectral Stability of Local Deformations.pdf [6] An active contour model for object tracking using the previous contour.pdf [7 ] Volumetric Segmentation of Brain Images Using Parallel Genetic AlgorithmsI.pdf [8] Segmentation in echocardiographic sequences using shape-based snake model.pdf [9] Active Contours Without Edges.pdf learning image processing articles were a must-see Platform: |
Size: 5512192 |
Author:张阳 |
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Description: 主动轮廓模型( snake) 是计算机视觉领域的重要研究方向, 受到越来越多的研究者的青睐。由于传统snake 具有不能收敛到凹
形区域和收敛速度较慢等缺点, 通过改进外部能量, 引入了梯度矢量流主动轮廓模型(GVF Snake)。实验表明, 该方法能更快、更好的收敛
于图像轮廓。-Active contour model (snake) is an important field of computer vision research direction, by a growing number of researchers of all ages. Because of the traditional snake has not converge to the concave regional and shortcomings such as slow convergence, by improving the external energy, the introduction of the gradient vector flow active contour model (GVF Snake). Experiments show that the method can be faster and better convergence in the image contour. Platform: |
Size: 342016 |
Author:赵希成 |
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Description: 图像轮廓检测的气球里模型,比传统的梯度矢量流效果要好-Image contour detection in the balloon model, than the traditional effect of gradient vector flow better Platform: |
Size: 1024 |
Author:qdd |
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Description: 越来越多的人愿意用GDI+绘制矢量图来完成UI的设计,原因是可以用到无锯齿、渐变、梯度、混合、透明等等各种图像效果。不过,通常大家遇到一些问题,本文和程序代码改善缩略图质量、无缝显示和锯齿消除的矢量图GDI+绘制。从而实现高质量的图像效果。-More and more people willing to GDI+ Draw vector to complete the design of UI, because you can use non-serrated, gradient, gradient, mixed, and transparent so all kinds of image effects. However, we usually encounter some problems, this paper and the program code to improve thumbnail quality, seamless display and sawtooth eliminate the vector GDI+ Draw. In order to achieve high-quality image results. Platform: |
Size: 2727936 |
Author:雷锋 |
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Description: 人工干预使蛇模型只能用于半自动的图像分割,该文在梯度向量流(GVF)蛇模型的基础上提出一种基于流场节点与最小路径方法
的全自动图像分割算法。在图像的GVF 场上检测出流场节点,以节点为种子,采用多标记快速扫描法获得一个初始分割,采用区域合并
得到最终分割结果。实验结果证明了该算法的鲁棒性和有效性。-Manual intervention to make the snake model can only be used for semi-automatic image segmentation, the text in the gradient vector flow (GVF) snake model based on the flow field based on the node with the smallest path method of automatic image segmentation algorithm. GVF field in the images to detect the flow field in node to node for the seeds, the use of many markers rapid scanning method to obtain an initial segmentation, the use of regional segmentation results eventually be merged. The experimental results show that the algorithm robustness and effectiveness. Platform: |
Size: 271360 |
Author:子登 |
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Description: 利用梯度矢量流算法进行轮廓提取(图像分割),不错的方法,对原来的ACM模型进行改进(active contour model 活动轮廓模型)-using gradient vector flow algrithm to extract image contour,improvement from active contour model Platform: |
Size: 13312 |
Author:wykme |
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Description: 指纹图像的质量测量与评价,在指纹图像分割、增强及指纹匹配等环节都有重要应用. 同时,指纹图像的质量分类,对指纹识别算法的适用性研究也有重要意义. 本文提出一种基于支持向量机的指纹图像质量分类方法.该方法选择梯度、Gabor特征、方向对比度等指标,利用支持向量机有效实现指纹图像质量分类. 并采用少类样本合成过采样技术( SMOTE)降低指纹图像质量好坏的类别不平衡问题对分类的影响. 理论分析和实验结果都表明该方法能够较为有效地提高指纹图像质量分类的正确率.-Fingerprint Image Quality Measurement and evaluation, in the fingerprint image segmentation, enhancement and fingerprint matching has important applications such links. Meanwhile, the quality of fingerprint image classification, on the applicability of fingerprint recognition algorithm is also important. In this paper, based on support vector machine classification of fingerprint image quality. The method chosen gradient, Gabor features, such as indicators of the direction of contrast, the effective use of support vector machine classification of fingerprint image quality. and use a small sample of synthetic over-sampling technique class (SMOTE) lower quality fingerprint image the type of imbalance bad influence on the classification. Theoretical analysis and experimental results show that the method can be used effectively to improve the quality of fingerprint image classification accuracy. Platform: |
Size: 564224 |
Author:郭事业 |
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Description: :通过对梯度矢量流(GVF)力场迭代和轮廓收敛过程中时间开销大、不能逼近较复杂轮
廓等不足之处的分析,提出了一种新的初始轮廓线的设置方法。基于小波变换的多尺度轮廓检测算
法,能够较精确地定位出各类轮廓,在此基础上设置的初始轮廓线能够非常好地靠近图像中的各种真
实轮廓。实验结果表明,此方法有效地缩小了搜索的范围,减少了GVF迭代次数,提高了轮廓收敛的
速度,并保留了GVF Snake模型的所有优点。-: The gradient vector flow (GVF) field iterative convergence process and outline the time cost, could not approach the more complex contours of such deficiencies, a new method of setting the initial contour. Wavelet-based multi-scale contour detection algorithm can accurately locate the various types of contours, on the basis set to a very good initial contour close to the image in a variety of real contours. Experimental results show that this method effectively reduces the search and reduce the number of iterations of the GVF to improve the convergence speed profile, and retained all the advantages of GVF Snake model. Platform: |
Size: 248832 |
Author:fuky |
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Description: 提出了利用小波分解建立多分辨率图像锥和Hausdorff距离的医学图像配准方法。先利用小波方法建立多分辨率图像锥, 然后根据梯度向量幅度提取分层图像的特征点, 利用Hausdorff距离进行特征点集的匹配。该方法提高了配准的速度和精度, 而且具有鲁棒性。-Image registration is the matching processing in which two or more images match from the same scene derived from different time and different sensors. A new method of medical image registration based on multi-resolution image cone and Hausdorff Distance is put forward. Firstly, the image is decomposed with wavelet method and transformed to multiresolution image. Multiresolution image cone is constructed by multiresolution image. Secondly, gradient vector flow is used to detect feature points. Finally, Hausdorff Distance is used for matching sets of feature points. Theories and experiments indicate that this method has some advantages such as high precision and good robustness. Platform: |
Size: 300032 |
Author:vivi |
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Description: 能够计算一幅图像的矢量梯度值的相关信息。-Able to calculate a vector of the image gradient values of Related Information. Platform: |
Size: 1024 |
Author:李小龙 |
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Description: GDI+:Graphics Device Interface (图形设备接口),它提
供了高级图形图像处理功能
在C#中,通过一套部署为托管代码的类来展现提供的图
形图像处理功能,这套类被称为GDI+的托管类。利用
GDI+可以轻松实现颜色渐变、透明处理、纹理处理、拉
伸和缩放等多种高级功能。
GDI+主要提供了三类服务:
1.二维矢量图形
2.图像处理
3.文字显示
-GDI+: Graphics Device Interface (Graphics Device Interface), which provides advanced graphics image processing function to show graphics image processing function provided by a deployment of managed code classes in C#, set class is called GDI+ Managed classes. Using GDI+ can easily achieve color gradient, transparent processing, texture processing, stretching and scaling and other advanced features. The GDI+ provide three types of services: 1 two-dimensional vector graphics image processing 3. Text Platform: |
Size: 46080 |
Author:姚樊 |
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Description: 根据不同的方法对U型图进行分割,得出梯度矢量流的优点,它更方便于对图像分割-Depending on the method of U-shaped graph partitioning, the advantages derived gradient vector flow, it is more convenient for image segmentation Platform: |
Size: 18432 |
Author:李川 |
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Description: 柏松选择性对比度调整,该算法自动调整对比度,使得图像清晰度增强。需要fftw3.-Selective Contrast adjustment, Given an image, the algorithm modifies the gradient vector field of the image and finally it recovers the new image by solving the poisson equation using the Fast Fourier Transform. Platform: |
Size: 21504 |
Author:LinXiao |
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Description: GVF snake模型算法matlab源程序,GVF是根据光流场原理,利用变分方法,从图像中得到的一种向量场,该向量场被称为梯度矢量流(GVF)场。-GVF snake model algorithm matlab source, GVF is based on the principle of optical flow field, using the variational method, a vector field obtained from the image, the vector field is called the gradient vector flow (GVF) field. Platform: |
Size: 1180672 |
Author:sunjing |
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Description: GVF snake模型算法matlab源程序,利用变分方法,从图像中得到的一种向量场,该向量场被称为梯度矢量流(GVF)场。-GVF snake model algorithm matlab source, using the variational method, a vector field obtained from the image, the vector field is called the gradient vector flow (GVF) field. Platform: |
Size: 1441792 |
Author:mlkjsg1 |
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Description: 图像处理领域经常会用到的梯度矢量,本程序实现了GVF并且将它可视化。-Often used in image processing gradient vector, the program will achieve the GVF and its visualization. Platform: |
Size: 3696640 |
Author:呼啸卫 |
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Description: 索贝尔算子(Sobel operator)是图像处理中的算子之一,主要用作边缘检测。在技术上,它是一离散性差分算子,用来运算图像亮度函数的梯度之近似值。在图像的任何一点使用此算子,将会产生对应的梯度矢量或是其法矢量
Sobel算子有两个,一个是检测水平边沿的;另一个是检测垂直平边沿的。Sobel算子另一种形式是各向同性Sobel (Isotropic Sobel)算子,也有两个,一个是检测水平边沿的,另一个是检测垂直边沿的各向同性Sobel算子和普通Sobel算子相比,它的位置加权系数更为准确,在检测不同方向的边沿时梯度的幅度一致。由于建筑物图像的特殊性,我们可以发现,处理该类型图像轮廓时,并不需要对梯度方向进行运算,所以程序并没有给出各向同性Sobel算子的处理方法。由于Sobel算子是滤波算子的形式,用于提取边缘,可以利用快速卷积函数,简单有效,因此应用广泛。
-Sobel operator (Sobel operator) operator is one of image processing, mainly for edge detection. Technically, it is a discrete difference operator for the operation gradient approximation image brightness function. At any point using this image operator, will have its corresponding gradient vector or vector method Sobel operator has two, one is to detect the horizontal edge the other is to detect vertical flat edge. Sobel operator is another form of isotropic Sobel (Isotropic Sobel) operator, there are two, one is to detect the horizontal edge, and the other vertical edge detection isotropic Sobel operator Sobel operator and ordinary compared to its location more accurate weighting factor, consistent detect edges in different directions when the magnitude of the gradient. Due to the special nature of the building of the image, we can see that, when dealing with this type of image contour, gradient direction does not need to be operational, so the program does not give an isotropic Sobe Platform: |
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Author:林晓冬 |
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