介绍了常用的图像分割方法及其优缺点和金相图像分析中的图像分割方法。
In this paper, the traditional methods of image segmentation and their advantages and disadvantages are introduced first.
通过在HSV彩色空间计算欧式距离，把彩色图像转换为灰度图像，然后利用灰度图像的分割方法对车辆进行分割。
With Euclid distance computed in HSV space, color image is translated into grayscale image, which segmentation methods can be applied in to partition the vehicle from the background.
这里提出了一种高效的基于模糊c均值(FCM)聚类的彩色图像分割方法，它利用塔形数据结构对彩色图像进行多层分割。
An efficient segmentation method based upon fuzzy c-means (FCM) clustering principles is proposed. The approach utilizes a pyramid data structure for the hierarchical ana - lysis of color images.
该方法充分考虑到图像的空间信息，对图像的分割采用两个步骤：颜色量化和图像空间分割。
It considered the spatial information of images (which was often neglected), and segmented an image following two steps: color quantization and spatial segmentation.
图像分割是颗粒图像处理与分析过程中的关键环节，分割结果的好坏直接影响计数的精度与后续的处理。
Segmentation is a key step during the particle image processing. The segmentation result has direct influence on the counting accuracy and the following processing.
基于形变模型的图像分割技术是近年来兴起的一种新型图像分割方法，已有相当广泛的研究。
Image segmentation using deformable models encompasses a class of techniques developed in recent years and has been studied extensively.
为了对低信噪比的超声图像进行有效分割，提出一种谱聚类集成的超声图像分割算法。
A novel ultrasound image segmentation algorithm, which is based on the spectral cluster ensemble, is proposed to segment ultrasound images with low SNR.
该方法将图像平滑、区域分割、阈值分割等多种图像处理技术有机的结合，对采集的图片成功的实现目标汽车提取，并且具有计算速度快、准确性高的特点。
It combined the technology of image smooth, region segmentation and threshold segmentation and picked up the object auto. It has high speed and high veracity in program.
该方法通过定义图像的平滑性测度，采用模糊增强技术对图像的灰度直方图进行增强，然后在增强的直方图上，利用自适应多阈值分割方法进行图像分割。
By defining a region smoothness measure, the method firstly enhances peak-valley feature of image histogram by fuzzy set technique, and then segments image using adaptive multi-thresholding method.
介绍了一种与传统的图像区域分割方法不同的图像处理方法，这种方法通过对二值图像进行各种阈值运算来实现图像区域的分割。
This paper introduces an image processing method that different from traditional image area segment. This method performs threshold operation to binary image for getting image area segment.
虽然目前人们已经对传统的图像分割算法进行了深入的研究，但是还无法找到一种能适用于所有图像类型的分割方法。
Although, people have done their best to research in the field, but up to now, we can not find a segmentation method that can apply all type of images.
采用基于位置的图像分割算法基本思想，给出了身份证图像分割的具体解决方案。
This paper gives the concrete resolution scheme by the application of the basic idea of image segmentation method based on coordinate position.
两组图像分割实验表明该方法可以准确地分割出目标，并优于传统的图像分割算法。
Experiments show that the new method can extract target from background accurately, and more effectively than traditional image segmentation method.
在图像分割的基础上，研究并提出一种图像分割区域颜色、空间位置与面积特征的抽取与表示的有效方法。
On the basis of image segmentation, further researches and proposes the kind of effective method for the extraction description of color, spatial position and area-size features of an image.
医学图像分割在医学解剖结构的研究，诊断等起着至关重要的作用，因此对医学图像分割算法的研究非常必要。
The segmentation of medical image applying in medical anatomy plays an important role in diagnosis. So the study of medical image arithmetic is very urgent and necessary.
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.
以及图像分割技术的研究，用最佳的阈值对羽绒图像进行阈值分割，得到满足羽绒检测要求的二值图像。
After researching the image segmentation, we get the two-value image of the image of down with the threshold of it.
图像分割方法最重要的一个实际应用领域是医学图像的分割。
The most important application field of image segmentation method is the segmentation of medical image.
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。
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.
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。
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.
首先讨论了图像阈值分割的两种方法：全局阈值图像分割和动态阈值图像分割。
The paper firstly discussed two ways for image segmentation:image segmentation by global threshold and image segmentation by dynamic threshold.
将该模型应用于图像分割，解决了传统模糊art网络图像分割结果随警戒参数的升高而出现的过度分割。
In the application of the image segmentation, the new model solves the over-segmentation of the original Fuzzy ART neural network algorithm due to the vigilance's increase.
基于模糊划分熵的图像阈值化分割方法因具有良好的分割性能已成为图像分割广泛应用的方法之一。
Image thresholding segmentation method based on fuzzy partition entropy has good segmentation performance and becomes a kind of extensive application method in image segmentation field.
结果表明：采用均值调整法进行高分辨率遥感图像分割具有较好的效果，图像分割的速度和精度均较高。
The result shows that mean-shift is a good method of segmentation to high-resolution remote sensing images; both the velocity and accuracy of segmentation are satisfied.
为了使图像跟踪系统能根据图像特征自适应选取分割算法，给出了一种基于粗糙集理论的图像分割智能决策方法。
In order that the image tracking system can select segmentation algorithm itself according to the object image feature, this paper presents an intelligent decision method of image segmentation.
本文对现有的各种图像阈值分割方法进行综述，重点介绍了基于图像灰度直方图的阈值分割方法。
The threshold methods of image segmentation are surveyed in this article, especially those based on the gray level histogram.
超声图像分割是临床医学的一个重要手段，所以研究超声图像的分割是一个十分有意义的课题。
The ultrasonic image segmentation is an important method for clinical medicine, so the ultrasonic image segmentation is a very important topic to study.
提出了一种基于最大相关准则的图像阈值分割法。该算法比基于最大熵原理的图像分割法更简便。
Based on maximum relativity criterion, a new thresholding algorithm for image segmentation is proposed which is more simple than the thresholding algorithm based on maximum entropy.
图像分割是数字图像处理领域中的重要内容，遥感图像分割是图像分割的一个重要应用方向。
Image segmentation is the important content in digital image processing, remote image segmentation is the one of important application aspect of image segmentation.
接着本文介绍了一些传统的图像分割技术，这些图像分割算法具有简单，易于实现，运算量较小等特点。
Then we introduce some traditional image segmentation techniques. These segmentation algorithms have characteristics of simplicity, realization and fewer calculations.
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