Description: 用标记-分水岭算法对输入图像进行分割
This the implementation of the algorithm based on immersion model.-Markers-watershed algorithm, the image segmentation This is the implement ation of the algorithm based on immersion model . Platform: |
Size: 9216 |
Author:肖雪 |
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Description: 分水岭图像分割算法,针对灰度图像,将H划分为0-255层进行淹没.然后输出分割后的图形层-watershed image segmentation algorithm, against gray image, will be divided into H 0-255 layer drowned. then segmented output graphics layer Platform: |
Size: 3072 |
Author:guagua |
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Description: 拥有许多图像分割的算法,有区域增长,水平集,分水岭,edgeflow等-possesses many of the image segmentation algorithm, a regional growth, level sets, watershed, such as edgeflow Platform: |
Size: 135168 |
Author:胡高翔 |
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Description: 图像分割源程序
通过融合处理，％ image segmentation based on multispectral image fusion
％ and morphology reconstruction watershed
％ main program
-image segmentation source through fusion, % image segmentation based on multispectral im age fusion% and morphology reconstruction wat ershed% main program Platform: |
Size: 1024 |
Author:li mingxi |
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Description: 图像的分水岭分割及标记分块。是进行图像处理的有利工具-Image segmentation and marking a watershed block. Is a powerful tool for image processing Platform: |
Size: 3072 |
Author:liulei |
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Description: 本程序是实现分水岭图像分割，对许多图像效果良好-This procedure is the realization of the watershed image segmentation, the effect of good Platform: |
Size: 25600 |
Author:高圆圆 |
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Description: 程序实现分水岭变换的图像分割，是基于直观分水岭定义的图像分割算法的实现。附件中包含算法介绍的文章。-Process to achieve watershed transformation of image segmentation is based on the intuitive definition of the watershed image segmentation algorithm. Algorithm is described in the annex containing the article. Platform: |
Size: 1075200 |
Author:赵红丽 |
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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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