Image segmentation plays a very important role in digital image processing. The watershed transform is one of the commonly-used image segmentation methods.
图像分割技术在数字图像处理领域占有非常重要的地位，分水岭变换是一种常用有效的图像分割方法。
The above results have important reference values to establish speed-limit standards and road limit segmentation methods of mountainous expressway in China.
上述研究成果对建立我国山区高速公路限速标准和限速路段划分的方法具有重要的参考价值。
Two segmentation methods of SAR image are proposed.
给出了两种SAR图像分割方法。
So far, a variety of image segmentation methods have been proposed.
迄今为止，已经提出了多种图像分割算法。
In this article, we firstly give a comprehensive summary of present image segmentation methods.
本文首先对现有的图像分割方法进行了较全面的综述。
The performance of segmentation methods based on watershed depends largely on the gradient of the image.
流域分割方法的性能主要依赖于图像梯度。
Therefore, a lot of segmentation methods have been proposed every year. However, a universal method doesn't exist until now.
尽管每年都有大量的研究成果被提出，但是直到目前为止还不存在一种通用的分割方法。
Recently, the nonlinear methods, especially image segmentation methods based on PDEs have attracted more and more attentions.
近年来，非线性的方法，尤其是基于pde的图像分割方法受到人们越来越多的重视。
The conventional segmentation methods are based on histogram difference and pixel difference between the successive frame pairs.
对视频序列进行分割，传统的方法是通过比较连续的视频帧之间像素间的灰度直方图差异来实现的。
This paper used RS images as the primary segmentation object, made a study of RS image segmentation methods, and proposed an effective method for RS image segmentation.
本文以遥感图像为主要的分割对象，对图像分割的相关技术进行了研究，并提出了一种有效的遥感图像分割方法。
Secondly, we have studied the technology of background segmentation in sea-sky background IR images, and put forward four kinds sea-sky background segmentation methods.
其次，研究了海空背景红外小目标图像的背景分割技术，提出了四种海空背景分割算法。
The main problems in point cloud segmentation methods were pointed out, and the description and evaluation of point cloud segmentation in related fields were conducted.
指出了目前点云模型分割技术方法中存在的主要问题；分类介绍和评价了点云分割在相关应用中的研究工作；
But practically, it's hard to get perfect effect using current automatic segmentation methods, and we have to add some interactive operations to get good segmentation effect.
在实际应用中的很多情况下，对图像采用现有的自动分割方法很难得到理想的效果，需要我们进行一些交互操作才能达到满意的分割效果。
Parallel processing of high-speed astronomical image data, existing image segmentation methods often can not meet the needs of real-time, multi-channel, synchronous segmentation.
在高速天文图像数据的并行处理时，传统的图像分割方法往往不能满足实时、多通道、同步分割的要求。
We use two different image segmentation methods, histogram algorithm and match algorithm, to implement image segmentation and compare the advantage and disadvantage of two methods.
用两种不同的图像分割方法(直方图阈值法和匹配法)实现图像分割，并且对两种方法的优缺点做了比较。
This paper puts forward a new method of taking out new words from articles by the comprehensive use of several traditional automatic segmentation methods and the method of statistics.
本文综合利用几种传统的机械分词方法，加上统计学的方法，提出了一种从文献中抽取新词的新方法。
The hierarchically structured motion segmentation methods based on mapping parametric models are introduced. Experimental results on part of the algorithm with MATLAB language are shown.
介绍了采用映射参数模型进行分层结构型分割的方法，并采用Matlab语言对该算法的部分内容进行了验证。
Aiming at the bad performance of existing retinal blood vessel segmentation methods for small and low contrast vessels, a new segmentation method based on transition region extraction is proposed.
针对现有视网膜血管分割方法对于小血管和低对比度血管分割效果差的问题，提出了一种基于过渡区提取的视网膜血管分割方法。
Compared with other traditional segmentation methods, this method considers the global information and polarized characteristics of POL-SAR image adequately so as to get the accurate segmentation.
该方法与传统的分割方法相比，能够充分考虑极化SAR图像的全局信息和极化特征对图像进行精确的分割。
Image segmentation takes an important place in medical image processing. Different segmentation methods used in medical images cause different effects due to the particularities of medical images.
图像分割在医学图像处理中占有很重要的位置，由于医学图像的一些特殊性，不同的分割方法会产生不同的效果。
Compared with traditional image segmentation methods, C-V model has some special advantages: it can accommodate itself to the changes of the object's Geometric topology and obtain continuous boundary.
因而C -V模型具有其它传统图像分割方法不具备的许多优点：它可以自动适应目标几何结构的拓扑变化，获得连续边缘。
Compared with traditional image segmentation methods, C-V model has some special advantages: it can accommodate itself to the changes of the object's Geometric topology and obtain continuous boundary.
因而C -V模型具有其它传统图像分割方法不具备的许多优点：它可以自动适应目标几何结构的拓扑变化，获得连续边缘。
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