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segmentation相关的网络例句

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与 segmentation 相关的网络例句 [注:此内容来源于网络,仅供参考]

Methods Based on thin layer CT mandible image data and the USIS software by ourselves, the individual geometry of the complete range of mandible was well established, also the distinction between the contour boundary of cortical and cancellous bones was done automatically. A series of new effective CAD methods such as "no-seed region segmentation", non-parallel "best cross-section planes" and the algorithm employed a pair of B-spline curves fitting were used to accurately construct of 3D geometry surface model of the complete range of mandible in a man-machine conversation and automatic style.

利用CT薄层扫描下颌骨获取的断层图像数据,在自主开发的USIS软件的基础上,自动分辨骨皮质和骨松质轮廓边界,并对下颌骨采用"非种子区域分割"、非平行"最佳切割曲面"及"B样条曲线拟合法"一系列新型CAD方法进行人机对话自动重建精确的几何表面模型。

Then we do some work on evaluation of segmentation result and validating result correctly.

随后通过对图象的分割评价,验证了该方法的效果。

Instead, they use segmentation , so that an application's virtual address space is divided into variable-length segments.

相反,他们使用的分割,使应用程序的虚拟地址空间分为可变长度部分。

This paper presents the relativity between the equivalent diameter and turbidity of settled water,proposes a method of coagula-tion control used the equivalent diameter and an alum image segmentation algorithm based on the maximal variance ratio .

本文介绍了絮体等效直径与沉淀水浊度的相关性,提出利用絮体等效直径进行混凝控制的方法和基于最大方差比的矾花图像分割算法。

A variational formulation level set model based on the image global information is obtained, which can detect contours both with and without gradient based on global information and eliminate the re-initialization procedure. The stopping term does not depend on the boundary gradient of the image, which overcomes greatly the "over segmentation".

针对这种情况,该文提出了一种基于图像全局信息并且不需要重新初始化的变分水平集红外图像分割方法,不考虑图像边缘梯度的影响,将图像全局信息作为外部能量项,在很大程度上克服了边缘模糊时过分割的情况。

In this paper, a variational level set approach for segmentation of Regions Of Interest is presented.

摘要针对SAR图像感兴趣区域分割问题,提出了一种基于统计模型的变分水平集分割方法。

It integrates two novel middle level features, which are based on dominant color segmentation and motion vector reliability analysis.

提出了一种统一特征模型,集成了2种新型的基于主颜色分割与运动矢量可信度分析的中层特征。

LI Qi-He, LUO Yu-Pin, XIAO De-Yun1. Department of Automation, Tsinghua University, Beijing 100084A fast automatic image segmentation method is presented through the combination of gradient vector flow field and seeded region growing.

摘要通过将梯度向量流(Gradient vector flow, GVF)场与种子区域生长(Seeded region growing, SRG)法相结合,提出了一种快速的自动图像分割方法。

Compared with the existing image segmentation algorithms, the experiment results show the new algorithm is rapid and veracious.

用现有的图像分割算法与本文算法比较,本文算法处理速度快,分割图像准确。

In the part of region segmentation, watershed algorithm is analyzed.

在基于区域的图像分割部分,对分水岭算法进行了分析。

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