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一种改进的SUSAN兴趣点检测算法
引用本文:郭峰,韩溟,王道平.一种改进的SUSAN兴趣点检测算法[J].现代电子技术,2011,34(10):5-7.
作者姓名:郭峰  韩溟  王道平
作者单位:第二炮兵工程学院,陕西西安,710025
基金项目:第二炮兵工程学院创新性探索研究基金
摘    要:兴趣点是图像中重要的几何特征,兴趣点的准确检测对于图像处理具有重要意义。为了优化SUSAN算法,提高算法的有效性,对SUSAN兴趣点检测算法中阈值的确定提出了改进。在图像每个像素的SUSAN模板中首先计算阈值t的初值,在利用迭代法获得终值,使其在各种不同的对比度下仍能正确检测兴趣点。实验结果证明了该方法的有效性。

关 键 词:SUSAN算法  兴趣点检测  迭代  自适应

An Improved SUSAN Interesting Point Detection
GUO Feng,HAN Ming,WANG Dao-ping.An Improved SUSAN Interesting Point Detection[J].Modern Electronic Technique,2011,34(10):5-7.
Authors:GUO Feng  HAN Ming  WANG Dao-ping
Affiliation:GUO Feng,HAN Ming,WANG Dao-ping(The Second Artillery Engineering College,Xi'an 710025,China)
Abstract:Interesting point is an important geometrical feature of image.The exact interesting point detection is vital to image processing.To improve efficiency and optimize SUSAN arithmetic,an improved way of determining the threshold of SUSAN operator is proposed.The initial value of threshold was calculated in every single SUSAN template.The final value of threshold was obtained using iterative segment.This way made it possible to pick up the right interesting point in all kinds of gray contrast.The experimental ...
Keywords:SUSAN operator  interesting point detection  iterative segment  self adaptive  
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