An adaptive marker extraction-based watershed algorithm is proposed to overcome the over-segmentation problem.
针对分水岭算法过分割问题，提出一种基于自适应提取标记的改进算法。
Finally, two-step marker results are fused and the image is segmented with a marker-based watershed algorithm.
最后融合两步图像中心区域标记结果，采用基于标记的分水岭分割算法进行图像分割。
Therefore, a marked watershed algorithm was employed in this paper to select human ear image from the valid area.
为此，本文将标记分水岭算法应用于人耳有效区域的分割。
The results show that this method can effectively restrain the over-segmentation of traditional watershed algorithm.
实验结果表明，该方法和传统分水岭算法相比较，能有效地抑制过分割。
Finally, the experimental result proves the contribution of watershed algorithm to urine sediment image segmentation.
最后，通过实验结果证明了分水岭算法对尿沉渣图像分割所做出的贡献。
As to the problem of inaccurate detail in scheme segmentation, a new method of improved watershed algorithm is proposed.
针对传统分水岭算法分割图像后存在的细节不准确问题，提出了一种改进的分水岭算法。
The core of this part is to improve the traditional watershed algorithm according to the characteristic of blood corpuscle image.
这部分工作的核心是根据血细胞图像的特点，对传统的分水岭分割算法加以改进。
Aiming at the over-segmentation phenomenon produced by using watershed algorithm, this paper improves this algorithm in virtue of a panel.
针对分水岭算法产生的过度分割现象，结合一个模板进行了算法的改进。
This is a watershed algorithm ways. Watershed algorithm has a strong edge detection capacity of the weak is on the brink of better results.
这是分水岭算法的一种实现方式。分水岭算法具有很强的边缘检测能力，对微弱的边缘也有较好的效果。
This paper suggests an improved marker-based watershed image-segmentation method to reduce the over-segmentation of the watershed algorithm.
为了降低分水岭算法的过分割问题，提出一种新改进的基于标记的分水岭图像分割方法。
According to the character of CTA images, watershed algorithm was chosen for the CTA bone removal through the depth study of image segmentation method.
通过对图像分割方法进行学习比较并根据CTA图像特点，选择分水岭算法进行去骨分割。
Due to noise and irregularity of the gradient image, watershed algorithm used to segment images generally leads to over-segmentation, which is unacceptable.
分水岭算法用于图像分割时通常由于噪声的存在和梯度的不规则造成过度分割。
An algorithm extracting video object is proposed by utilizing the HOS (higher order statistics) and multi-resolution watershed algorithm in video sequences.
提出了将高阶统计运动检测和多尺度分水岭相结合的视频目标分割算法。
Through the pretreatment in prophase and the catchment basin chosen, the over-segmentation phenomena existing in traditional watershed algorithm can be restrained.
通过前期的预处理以及汇水盆地的选取，有效的抑制传统算法中的过分割现象。
Compared with other methods, this system requires fewer computations and simpler parameters and can more efficiently reduce the over-segmentation of the watershed algorithm.
与其他的分水岭改进方法相比，本文提出的方法要求的计算复杂度较低，具有简单的参数，同时能够更为有效地降低分水岭算法的过分割问题。
The method of combining watershed algorithm and re-gions merging technology is used in this paper, segment iris im-age accurately, and reduce over - segmentation phenomena efficiently.
在论文中使用了分水岭分割算法与区域合并相结合的方法，有效地对虹膜图像进行分割，并减少过度分割现象。
Watershed algorithm has been used to segment the biomedical image.
采用分水岭分割算法对医学图像进行分割。
Watershed algorithm has been used to segment the biomedical image.
采用分水岭分割算法对医学图像进行分割。
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