计算机科学 ›› 2011, Vol. 38 ›› Issue (1): 279-281.

• 图形图像 • 上一篇    下一篇

基于骨架接合节点特征的形状识别与分类

陈珺,王波,周瑜,白翔,刘文予   

  1. (华中科技大学电信系 武汉430074);(中国地质大学(武汉) 武汉430074)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家自然科学基金(60903096,60873127),国家科技支撑计划(2006BAH02A24)等项目。

Shape Recognition and Classification Based on Skeleton Junction Nodes Features

CHEN Jun,WANG Bo,ZHOU Yu,BAI Xiang,LIU Wen-yu   

  • Online:2018-11-16 Published:2018-11-16

摘要: 介绍了一种利用形状的骨架信息进行形状识别和分类的方法。利用从形状中提取的骨架接合节点信息,将形状相似性问题转化为骨架接合节点距离的计算。采用神经网络的方法,根据输入形状的骨架接合节点距离判断出形状所属类别。该方法可以很好地处理非刚性物体形状识别问题,与现有方法相比,具有更好的形状识别效果。

关键词: 骨架,神经网络,形状识别,形状分类

Abstract: This paper proposed an algorithm using skeleton information to do shape recognition and classification. Using the information of skeleton junction nodes,the problem of shape similarity is converted to distance of skeleton junction nodes. Using method of neural network, the classification results can be got at the output of the network. The method can solve the recognition of nonrigid objects. The experiment results show that our method has better recognition results than other method.

Key words: Skeleton, Neural network, Shape recognition, Shape classification

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