Furthermore, it can avoid re-segmentation problem in the fixed-scale watershed arithmetic.
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。
Then the segmentation problem is formulated as Maximum a Posterior Probability (MAP) estimation rule.
分割问题可以被转换成一种最大后验概率估计问题。
We apply a regularized diffusion framework to solve the supervised learning image segmentation problem.
将离散的正则化扩散框架应用到全监督的图像分割领域中；
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。
The experiment shows that the excessive segmentation problem can be solved using our improved algorithm efficiently.
实验表明，改进后的算法在解决过度分割问题上，效果明显。
The segmentation problem is the maximizing a posteriori estimation of the set of object area result from the watershed labeled.
设计了一个先验密度惩罚图像当中分水线变换后的相似的区域，图像分割进而变成对目标子集的最大后验估计。
In this thesis, design based on geometric constraint is proposed to deal with dynamic two-view scene motion segmentation problem.
本论文提出基于几何一致性约束的动态二视场景运动分割设计。
In Chapter 4, we consider the 2-catalog Segmentation problem which is equivalent to some kind of bipartite graph partition problem.
在第四章，我们研究二目录分割问题，它等价于一个基于二部图上的某种划分问题。
Automatic location of vehicle license plates is a difficult image segmentation problem. Neural network is a powerful tool for solving the problem.
汽车牌照定位是一个较难解决的图像分割问题，神经网络为此问题的解决提供了一个有力工具。
Therefore, the primary issue of Chinese information processing, that is, to a sentence to separate words, this is the Chinese word segmentation problem.
因此中文信息处理的首要问题，就是要将句子中一个个词给分离出来，这就是中文分词问题。
Real telecom customer data were used for simulation and the experimental results show that the algorithm can solve customer segmentation problem effectively.
利用真实电信客户数据进行的模拟实验也表明，提出的算法具有良好性能，可以有效解决电信客户细分问题。
This paper proposes the method of decision-tree SVM on two levels pyramid image, it could solve the segmentation problem of multi-classes objects on aerial image.
提出了两级金字塔影像上的决策树支持向量机方法，解决航空影像中多类地物的分割问题。
Conversion from BigDecimal objects into Float Numbers had a problem which enables attackers to effectively cause segmentation faults.
将BigDecimal对象转换成float数的时候会导致一个问题，这个问题使得攻击者能够很容易得到段错误。
Medical image segmentation has been playing an increasingly important role in medical image analysis; it is a hard-tough problem in medical image processing and analysis.
医学图像分割在医学影像分析中正在发挥着日益重要的作用，它是医学图像处理和分析领域的基础性经典难题。
To solve the problem of the over-segmentation, the criterions of region intensity and edge strength and region size are combined.
为解决过度分割的问题，给出了区域的灰度特性和边界强度及区域尺寸相结合的融合准则。
For the problem of video object segmentation, a new approach was presented to video object extraction and tracking.
针对视频对象的分割问题，提出了一种新的视频对象提取与跟踪方法。
One of challenges in Chinese Word Segmentation is the combinational ambiguity problem with two main obstacles: the detection of combinational ambiguities and ambiguity resolution.
汉语自动分词中组合歧义是难点问题，难在两点：组合歧义字段的发现和歧义的消解。
The formula recognition problem was divided into character segmentation and structure analysis.
公式识别问题被分为字符分割和结构分析两部分内容。
For creating video database, segmentation of video scene has been an important problem hard to solve.
在视频数据库研究领域，视频场景的分割是一个重要而又难以解决的问题。
Image segmentation is the basic and challengeable problem in image processing field.
图像分割是图像处理中最基本且具有挑战性的问题。
Watershed transform is a classical method of image segmentation in mathematical morphology, and its parallelism is an important problem.
流域变换是数字形态学中用于图像分割的一种经典方法，其并行化问题成为近年来研究的重点。
Fast edge extraction and segmentation in noisy image is a difficult problem in real-time image processing.
噪声图象的快速边缘提取和分割是实时图象处理中的重要问题。
The image segmentation, which is the first essential and fundamental issue in the image analysis and pattern recognition, is a classical difficult problem in the image processing.
图像分割是图像分析和模式识别需要解决的首要问题和基本问题，也是图像处理的经典难题。
This algorithm solves the problem of fingerprint image segmentation with low computational cost based on reasonable application of the gray-level-statistics of fingerprint images.
算法中通过合理的运用图像灰度特性，以较低的计算代价有效地解决了指纹图像分割问题。
But the traditional watershed transformation has a serious problem of over segmentation, and noise of the image and fake textures may submerge the wanted edge information.
但传统分水岭变换过分割问题严重，图像的噪声和虚假纹理会淹没真正想得到的边缘信息。
This method not only enhances the accuracy of segmentation, but also solves the bounder gap problem well, which is quite a puzzle for single level set algorithm.
该方法不但提高了分割的精度，而且能够很好地解决单一速度函数水平集算法难以处理的边界缺口问题。
Variational method could naturally convert complex segmentation into a variational functional optimization problem.
变分方法可以自然的将复杂的分割转化为泛函的极值问题。
Variational method could naturally convert complex segmentation into a variational functional optimization problem.
变分方法可以自然的将复杂的分割转化为泛函的极值问题。
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