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基于穹顶提取的边缘选取算法
  • 摘要

    在检测斜坡状边缘时,由于噪声的影响,经常出现单边缘多重响应现象.灰度形态学重建(grayscale reconstruction)可以用于提取穹顶(dome).文章指出并证明了穹顶所具有的三个特性,并提出一种基于穹顶在梯度图中选取边缘的算法(DEG).根据指出的穹顶的特性,该算法具有非极大抑制(non-maxima suppression,NMS)的效果;并且它仅选取出梯度图中相应于边缘的极大值点,在其附近由噪声引起的小的极大值点不会被选取出.算法的时间复杂度和内存要求同非极大抑制法相比没有明显的增加.实验结果显示,该算法抑制了单边缘多重响应现象,具有非极大抑制的效果,同时不会引起边缘的移位,适合用于对斜坡状边缘的检测.

  • 作者

    王仪科  窦万春  张习文  蔡士杰  WANG Yi-Ke  DOU Wan-Chun  ZHANG Xi-Wen  CAI Shi-Jie 

  • 作者单位

    南京大学计算机软件新技术国家重点实验室,南京,210093;南京大学计算科学与技术系,南京,210093/中国科学院软件研究所人机交互技术与智能信息处理实验室,北京,100080

  • 刊期

    2005年2期 ISTIC EI PKU

  • 关键词

    边缘检测  多重响应  数学形态学  灰度形态学重建  穹顶提取 

参考文献
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