将改进的分水岭算法和水平集算法应用于脑组织的提取。
The extraction of the brain tissue is achieved through the level set methods and improved watershed segmentation.
为此，本文将标记分水岭算法应用于人耳有效区域的分割。
Therefore, a marked watershed algorithm was employed in this paper to select human ear image from the valid area.
此外，还避免了在固定规模的分水岭算法中的重复分割的问题。
Furthermore, it can avoid re-segmentation problem in the fixed-scale watershed arithmetic.
针对岩屑图像的特征，提出了一种改进的分水岭算法分割方案。
Considering the characteristics of detritus image, this article proposed an improved segmentation method based on watershed transformation.
提出利用能量驱动的分水岭算法来实现人脑mri中的海马分割。
A method is presented, which employs energy-driven watershed transform algorithm to segment hippocampus in human brain MRI.
最后，以获得的血管中线为先验标记，血管边界用分水岭算法检测。
The final vessel boundaries are detected using watershed techniques with the obtained vessel centerline as prior marker for vessel region.
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。
Watershed algorithm has a strong edge detection capacity of the weak is on the brink of better results.
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。
Finally, the experimental result proves the contribution of watershed algorithm to urine sediment image segmentation.
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。
An adaptive marker extraction-based watershed algorithm is proposed to overcome the over-segmentation problem.
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。
The results show that this method can effectively restrain the over-segmentation of traditional watershed algorithm.
提出了一种基于区域增长和改进分水岭算法的胃腺癌细胞图像分割方法。
This paper presents a new kind of algorithm for cell image segmentation, which is based on region-growing and watersheds.
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。
Aiming at the over-segmentation phenomenon produced by using watershed algorithm, this paper improves this algorithm in virtue of a panel.
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。
Due to noise and irregularity of the gradient image, watershed algorithm used to segment images generally leads to over-segmentation, which is unacceptable.
为了防止分水岭算法过分割问题，该文提出了一种基于自适应预处理的图像分割算法。
To avoid over segmentation produced by watershed segment algorithm, an image segment algorithm based on the adaptive preprocessing is proposed in this paper.
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。
As to the problem of inaccurate detail in scheme segmentation, a new method of improved watershed algorithm is proposed.
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。
This paper suggests an improved marker-based watershed image-segmentation method to reduce the over-segmentation of the watershed algorithm.
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。
According to the character of CTA images, watershed algorithm was chosen for the CTA bone removal through the depth study of image segmentation method.
通过对肾小管病理图像特征的分析，提出了一种基于分水岭算法的肾小管病理图像分割算法。
After analyzing the features of renal tubule pathologic images, we propose an algorithm bases on watershed transform.
最后研究了图象分割的基本原理，对分水岭算法进行了深入分析，提出的改进思路大大缩短了分割时间。
At last, the principle of image segmentation is investigated, an algorithm based on watershed transform is given, a lot of segmentation time can be shorten greatly.
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 is a watershed algorithm ways. Watershed algorithm has a strong edge detection capacity of the weak is on the brink of better results.
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。
Compared with other methods, this system requires fewer computations and simpler parameters and can more efficiently reduce the over-segmentation of the watershed algorithm.
然后，引入基于多尺度形态梯度的分水岭分割算法，对图像进行空域分割。
Then, a multiscale morphology gradient-based watershed segmentation algorithm is introduced to segment the video frame in the spatial domain.
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。
An algorithm extracting video object is proposed by utilizing the HOS (higher order statistics) and multi-resolution watershed algorithm in video sequences.
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。
Finally, two-step marker results are fused and the image is segmented with a marker-based watershed algorithm.
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。
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.
传统的分水岭分割算法属于无监督的图像分割算法，分割获得的子区域往往不具备现实的语义信息。
The traditional watershed segmentation algorithm is a kind of unsupervised segmentation algorithms, which produces sub-regions without semantic representation.
本文采用分水岭变换对尿沉渣图像进行分割，但此算法容易造成图像的过分割，导致图像的轮廓线掩埋在杂乱的分水岭线中。
This paper adopts watershed transform to segment those images, but this method easily products the over segmentation which results in the edge line buried in disorderly watershed line.
实现了分水岭图像分割算法，并将该算法应用到立体匹配中。
The paper realizes the watershed image division algorithm, and applies this algorithm to stereo matching.
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。
The core of this part is to improve the traditional watershed algorithm according to the characteristic of blood corpuscle image.
针对分水岭分割易产生过分割问题，提出一种基于融合自适应形态滤波的分水岭分割算法。
To overcome the over-segmentation for the watershed, this paper presented a novel algorithm of watershed segmentation based on fusion and adaptive morphological filtering.
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