Description: Matlab code for the implementation of the snake(active contour). Very useful in the image segmentation. Platform: |
Size: 1377280 |
Author:王军 |
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Description: 这是一个图像分割程序,基于snake方法,对初始位置选择要求较高,在matlab环境下调试运行-This is an image segmentation procedures based on the snake, location of the initial demand for a higher choice, In Matlab environment debugging operation Platform: |
Size: 1024 |
Author:Wang Qi |
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Description: 对分水岭分割方法的多种标记方法,包括三个matlab文件。-watershed segmentation method for the multiple markers, including three Matlab document. Platform: |
Size: 1024 |
Author:林道庆 |
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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: |
Size: 11264 |
Author:gg |
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Description: GVF snake用matlab实现,可用于图像边缘检测和分割-GVF snake with matlab realize, can be used for image edge detection and segmentation Platform: |
Size: 1966080 |
Author:谢祎 |
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Description: 在MATLAB编程环境下,使用一种活动轮廓的方法实现图像分割的程序。-In the MATLAB programming environment, the use of an active contour method to achieve image segmentation procedures. Platform: |
Size: 5120 |
Author:yuyu |
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Description: snake程序代码,用于图像分割。是一活动轮廓模型-snake program code for image segmentation. Active contour model is a Platform: |
Size: 1024 |
Author:张砚博 |
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Description: 基于GVF的SNAKE算法,应用于红外人脸分割,用matlab编写的-SNAKE the GVF-based algorithms, used in infrared face segmentation, prepared by matlab Platform: |
Size: 542720 |
Author:lee |
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Description: 这是用snake进行医学图像分割的matlab代码
解压密码:www.image2003.com-matlab code using snake to devide up the medcinal image Platform: |
Size: 40960 |
Author:胡亮兵 |
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Description: Snake的初衷是为了进行图像分割,但它对初始位置过于敏感,且不能处理拓扑结构改变的问题。初始位
置的敏感性可以用遗传算法来克服,因为它是一种全局优化算法,且有良好的数值稳定性。为了更精确地进行图
像分割,本文提出了一种基于遗传算法的双T—Snake模型图像分割方法,它将双T—Snake模型解作为遗传算法的搜
索空间,这既继承了T—Snake模型的拓扑改变能力,又加快了遗传算法的收敛速度。由于它利用遗传算法的全局优
化性能,克服了Snake轮廓局部极小化的缺陷,从而可得到对目标的更精确的分割。将其应用于左心室MRI图像的分割,取得了较好的效果。-Snake s original intention was to carry out image segmentation, but it was too sensitive to initial position and can not deal with the issue of topology change. Initial position
The sensitivity of home can be used to overcome the genetic algorithm because it is a global optimization algorithm, and have good numerical stability. In order to more accurately map
Like segmentation, this paper presents a genetic algorithm based on dual-T-Snake model for image segmentation method, it will double-T-Snake model solution found as a genetic algorithm
Cable space, which not only inherited the T-Snake model the ability to change the topology, but also speed up the convergence rate of genetic algorithm. It uses genetic algorithms as a result of the overall excellent
Of performance, to overcome the local minimum of Snake contour deficiencies, which can be more precise on the target partition. Will be applied to MRI images of left ventricle
Segmentation, and achieved good results. Platform: |
Size: 458752 |
Author:ultraqiangda |
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