TemplateMethod模式定义了基类算法的骨架，使用了抽象方法和覆盖将具体细节放到子类中。
The Template Method pattern defines the skeleton of an algorithm in a base class, using abstract methods and overriding to defer individual details to child classes.
本文基于二值数学形态学，建立了数字图像骨架提取方法，并给出了相应的算法。
In this paper, a method and algorithm of skeleton extraction based on binary mathematical morphology is presented.
方法首先设计了一种基于位编码和坐标变换的快速3D细化算法来提高提取器官骨架的运算速度；
Method A 3D thinning algorithm based on bit encoding and coordinates transform was designed to speed up the calculation of extracting the skeleton.
本文提出的骨架算法也应用GVF场的这一特性。
In this paper, the skeleton algorithm also applies the characteristics of GVF.
至此设计出了一套完整的针对形态学骨架的剪枝算法。
Thus a complete pruning algorithm for the morphological skeleton is achieved.
改进后的算法细化速度快、且能获得效果优良的中心骨架。
The presented algorithm produces better image skeleton with faster processing speed.
该算法在传统骨架算法中引入距离变换，获得目标各部分骨架的权值，用其描述各部分骨架的重要性。
It introduces the method of Distance Transform to the traditional Skeleton Algorithm to get the weight for describing the importance of the Skeletons.
本文给出了一种基于骨架树的线性骨架拓扑相似性度量算法。
After that a linear skeleton topological similarity measure algorithm based on skeleton tree is detailed.
该算法满足了新的字符加工方法因为要使用字符骨架生成刀位轨迹而对细化算法的要求。
The algorithm satisfies the needs of the new character NC machining technique that generates the tool path by the character skeleton.
针对数学形态学骨架化算法可能出现的多像素宽度情况，定义了端点、节点、尾支和毛刺等概念，在此基础上设计了一种分级毛刺去除算法。
Aimed at the appearance of multi-pixels width of skeleton, this paper gave the definition of tip, node, tail and burr, and a design of an algorithm for iteration burr.
实验结果显示，该算法能够较精确地定位关节点位置，自动提取出人体尺度骨架模型。
Experimental results show that the proposed algorithm can locate the body joints' positions with relatively high precision and initialize the SPM automatically.
针对3维模型检索算法性能较低的问题，提出了一种基于整数中轴骨架的3维模型检索算法。
To improve the efficiency of 3d model retrieval, an algorithm for 3d model retrieval based on integer medial axis skeleton was proposed in this paper.
通过模拟水流冲刷图像表面的过程，本文提出了一种直接针对灰度图像的高效的骨架化算法。
A fast skeletonization algorithm directly for gray-scale patterns is presented in this paper by simulating the procedure of water scouring the image surfaces.
传统的基于距离变换的骨架算法不能保证骨架的连通性，需要引入鞍点解决连通问题。
The traditional skeletonization algorithms based on distance transform can not guarantee the connectivity property, so saddle points should be added to solve the connectivity problem.
针对QAP问题，提出了一种新的蚁群算法——近似骨架导向的快速蚁群算法（ABFANT）。
This paper presents a new fast ant heuristic for the QAP, the approximate-backbone guided fast ant colony algorithm (ABFANT).
本文的骨架算法能够有效克服噪声的影响，可对初始图像进行直接处理，保证骨架线提取的精确性。
The skeleton method of this paper could extract the skeletons from initial images directly due to overcome impact of noise effectively, and guarantee accuracy of skeletons.
作为设计启发式算法的有力工具，GPP的骨架分析存在理论分析结果匮乏、骨架规模过小等缺陷。
There exist defects of theoretic results and limited size in backbone analysis, a useful tool for heuristic design of the GPP.
提出了一种垃圾图像检测算法，即骨架检测算法。
Present a new image detection arithmetic: framework detection arithmetic.
二值分割后，采用二步细化算法实现干涉条纹的骨架线提取，并采用条纹跟踪算法对条纹进行修整。
The segmentation, a two-step refinement algorithm interference fringes from the skeleton, and tracking algorithm using stripes on the fringes and carry out rectification.
通过比较提取骨架方式得到的实验结果和样本两者的模糊几何特征，可调整算法参数，完善仿真。
On the research of ontology description logics, semantic extraction and fuzzy geometric features, a new simulation algorithm including four steps is proposed.
给出了用数学形态方法获取二值图象骨架，及利用骨架完全或部分重建图象的算法和实例。
This paper presents algorithms and applications of acquiring skeleton of binary image and completely or partially reconstructing binary image from its skeleton using mathematical morphology method.
基于最大正方形的中轴变换，提出了一种二值图像的骨架提取算法。
Based on the medial axis transform of the upright maximal squares, a new robust binary image skeletonization was proposed in this paper.
提出了一种基于梯度矢量流(GVF)的快速收敛骨架snake算法。
We presented a novel and fast convergent skeleton snake model based on gradient vector flow (GVF).
也就是定义一个操作中的算法的骨架，而将一些步骤延迟到子类中，不改变算法的结构而重定义它的一些步骤。
Define the skeleton of an algorithm in an operation, Deferring some steps to subclasses, Lets subclasses redefine certain steps of on algorithm without changing the algorithm's structure.
也就是定义一个操作中的算法的骨架，而将一些步骤延迟到子类中，不改变算法的结构而重定义它的一些步骤。
Define the skeleton of an algorithm in an operation, Deferring some steps to subclasses, Lets subclasses redefine certain steps of on algorithm without changing the algorithm's structure.
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