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.

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Star skeleton is a fast skeletonization technique by connecting from centroid of target object to contour extremes.

星狀骨架是一種藉由連結(jié)物件中心到物件輪廓突出點的快速骨架技巧九九免费黄色视频。

Image Enhancement, Vein Pattern Segmentation, Skeletonization

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The connectivity property is not guaranteed by the traditional skeletonization algorithm based on the distance transform, saddle points should be added to solve the connectivity problem.

傳統(tǒng)的基于距離變換的骨架算法不能保證骨架的連通性熟女熟妇伦aⅴ网站美利坚，需要引入鞍點解決連通問題。

Vertical traction, artery skeletonization and division at origin are the foundation of anatomy.

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Many skeletonization approaches have been proposed, try solving the defects that are intrinsic in traditional thinning algorithm, however, almost all approaches produce extra distortions; moreover, these approaches are usually applicable to some specific font only.

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The robustness is obtained thanks to the fact that some local mismatches in the approach are generally impossible to change the global correct matching trend The method can not only be used for sectional images matching in medical field as it did in the thesis, but can also be used in other fields, such as stereo vision [2] Distance transformation plays quite an important role in object thinning and skeletonization in image processing.

2〗距離變換是一種基本的圖象處理工具欧亚在线视频，它在實現(xiàn)目標細化、骨架抽取等方面起到重要作用A∨精品男人的天堂。作者提出了一種統(tǒng)一化的距離變換免费亚洲黄色，它能夠快速實現(xiàn)多種距離測度的距離變換。當進行歐氏距離變換時四五月婷婷色播播，其平均誤差遠遠小于文獻中現(xiàn)有的方法一级ar级99久久毛视频，并且出現(xiàn)誤差的概率也大大地降低了青青青手机视频免费观看。

Distance transformation is a global operation on binary image which is widely used in skeletonization, shape matching, object reconstructing, obstacles elusion, etc.

距離變換是一種基于二值圖像的全局操作，在骨架抽取成年人视频免费网站、形狀匹配娇喘高潮福利免费网站、目標重建、機器人避障等圖像分析與模式識別算法中有著廣泛的應用中文字幕无码一区在线一区。

High sensitivity of most skeletonization algorithms to the variable edge features makes the structure of the extracted skeletons relatively complicated and the corresponding data excessive.

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Having compared the merits and unmerits of several palm print skeletonizations, a table-based lookup skeletonization is proposed.

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