Color Watershed Segmentation Algorithm 彩色分水岭分割算法
watershed segmentation algorithm 分水岭分割算法
Marker-controlled watershed segmentation 标记分水岭分割
marker controlled watershed segmentation 标记控制的分水岭分割
Watershed Topographic Segmentation 流域地貌分割
Watershed Region Segmentation 分水岭区域分割法
Watershed segmentation based on gradient images usually has over-segmentation result. To solve over-segmentation problem,we propose a new Hierarchical image segmentation method based on Watershed filling and Overlap-rate measuring(HWO).
由于分水岭方法进行图像分割时经常是在梯度图像上进行,并经常产生过分割的结果,因此为克服图像过分割问题和提高分割的准确性,提出了一种基于分水岭和重叠率衡量分层融合策略的彩色图像分割新算法——HWO。
参考来源 - 基于分水岭和重叠率衡量的多级彩色图像分割 in CThirdly, this thesis makes a detailed analysis for over-segmentation problem of the watershed segmentation algorithm, and improves this segmentation algorithm.
然后,详细研究了流域分割算法中的过分割原因,并对流域分割算法进行了改进。
参考来源 - 颗粒图像分割与分析方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
A method of watershed segmentation based on morphological gradient reconstructing was proposed.
提出一种基于形态学梯度重建的改进快速分水岭分割算法。
To overcome the drawback, a method of improved watershed segmentation algorithm is proposed in this paper.
为了克服这种缺点，本文提出了改进的图像分水岭分割的方法。
The extraction of the brain tissue is achieved through the level set methods and improved watershed segmentation.
将改进的分水岭算法和水平集算法应用于脑组织的提取。
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