Description: 用matlab编写得snake算法程序,可用于图像分割和边缘检测-Using matlab to prepare a snake algorithm procedure can be used for image segmentation and edge detection Platform: |
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Author:gg |
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Description: matlab开发的一些关于基于GVF的图像分割算法,-matlab developed some of the GVF-based image segmentation algorithm, Platform: |
Size: 23552 |
Author:支晓娜 |
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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: |
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Author:张阳 |
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Description: 基于Snake 模型的图像分割技术是近年来图像处理领域的研究热点之一。Snake 模型承载上层先验知识并融合
了图像的底层特征,针对医学图像的特殊性,能有效地应用于医学图像的分割中。本文对各种基于Snake 模型的改进算法和
进化模型进行了研究,并重点梳理了最新的研究成果,以利于把握基于Snake 模型的医学图像分割方法的脉络和发展方向。-Snake model based on image segmentation image processing technology in recent years one of the hot areas of research. Snake model bearing a priori knowledge of the upper and bottom of the convergence of image features, for the specificity of medical images can be effectively applied to medical image segmentation. In this paper, model-based Snake improved algorithm and evolutionary models were studied and focused on combing the latest research results, in order to grasp the Snake model based on medical image segmentation method of context and direction of development. Platform: |
Size: 476160 |
Author:赵希成 |
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Description: 利用图像区域的局部梯度信息,同时利用序列图像之间局部区域的全局信息及其相关性重
新构造外部能量函数 并根据内外部能量的比值,动态地调节权值参数. 实验结果表明,改
进算法既可以有效地检测出一些拐角点和凹点,又可以避免目标边缘收敛于某些噪声点
或伪边缘点,可达到良好的体分割效果.-Use of local image gradient information region, while the use of sequential images of the overall situation between the local area information and its relevance to re-structure the external energy function and in accordance with the ratio of internal and external energy, the right to adjust the value of dynamic parameters. Experimental results show that the improved algorithm not only can be effectively detected in a number of corner points and concave point, and prevent the goal of the edge of convergence in certain noise or pseudo-edge point, the body can achieve good segmentation results. Platform: |
Size: 1529856 |
Author:小王 |
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Description: 图像分割中的经典算法snake的代码。该代码简洁高效,当处理非凸曲线边缘时分割效果好-Image segmentation algorithm in the classic snake code. The code concise and efficient, when dealing with non-convex curve of the edge effect when the partition Platform: |
Size: 3072 |
Author:zhangpin |
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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: snake算法 初始边界收敛达到真实图像边缘
是一种基于模型的图像处理算法-snake segmentation algorithm. It begins as a initial edge and gradually goes to the real edge. Platform: |
Size: 1392640 |
Author:zhouyue |
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Description: 基于gvf(Gradient Vector Flow)的主动轮廓模型(snake)图像分割算法。
包括3个算法的实现,即基本SNAKE,ballon snake, 和GVF snake.
都采用了参数解法,很适合初学者使用-Based gvf (Gradient Vector Flow) of the active contour model (snake) segmentation algorithm. Including the three algorithm, namely, the basic SNAKE, ballon snake, and the GVF snake. Have adopted the parameters of solution, it is suitable for beginners Platform: |
Size: 989184 |
Author:孙水发 |
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Description: 改进的T- Snake 算法首先在分水岭法中, 对相邻区域以其像素数、灰度均值和灰度方差定义距离, 并据其在图像上建立新的连通图, 以对图像过度分割而产生的一些过小区域合并 其次, 在模型跨边缘时, 利用已分割断层图像中模型内部区域的统计特征, 用区域生长法获取内点并重新参数化模型, 使模型不再跨边缘, 以保证模型形变到正确的边缘-Improved T-Snake algorithm first law in the watershed, the number of pixels in its neighboring regions, the definition of mean and variance of gray distance, and according to its image on the establishment of a new connected graph, in order to over-segmentation of the image produced Some of the small region merging Second, cross-edge in the model, the use of CT image segmentation model has an internal statistical characteristics of the region, using region growing to get the point and re-parameterized model, the model is no longer cross the edge, to ensure model to the right edge of the deformation Platform: |
Size: 129024 |
Author:莉 |
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Description: 基于活动轮廓模型的图像分割算法研究,是其中一些子程序,适合初学者研究-Active contour model based image segmentation algorithm, are some of the subroutine, suitable for beginners of Platform: |
Size: 12288 |
Author:傅开开 |
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Description: 基于改进的Grow-Cut和蛇模型的图像分割算法的研究与实现-Grow-Cut and snake improved model image segmentation algorithm based and Implementation Platform: |
Size: 12288 |
Author:马志远 |
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Description: 用snake算法对边界进行拟合,在图像分割、描述和识别中有较大的用途。(Fitting the boundary with snake algorithm is of great use in image segmentation, description and recognition.) Platform: |
Size: 1024 |
Author:小钱钱钱 |
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