计算机科学 ›› 2011, Vol. 38 ›› Issue (5): 265-267.

• 图形图像 • 上一篇    下一篇

结合进化规划的图像分水岭分割技术

赵珊,王水   

  1. (河南理工大学计算机科学与技术学院 焦作454000) (南京邮电大学江苏省图像处理与图像通信重点实验室 南京210003)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受江苏省图像处理与图像通信重点实验室开放基金((ZK208002),河南省教育厅自然科学基础研究基金(200813520015,200913520013),河南理工大学博上基金(82008-61,82009-91)资助。

Image Watershed Segmentation with Evolutionary Programming

ZHAO Shan,WANG Shui   

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

摘要: 为了解决分水岭算法的过分割问题,提出用一种结合进化规划的控制标记符提取技术对图像进行预处理的分水岭图像分割方法。该方法基于进化规划的生灭过程,对传统分水岭分割中的图像目标区域进行重新标记,根据新标记的区域特点,重新设置图像目标区域的控制标记符。然后通过分水岭变换,实现图像的区域分割。实验结果表明,该方法既能有效解决分水岭算法的过分割问题,又保留了各种重要的目标区域,可以得到较满意的图像分割结果。

关键词: 图像分割,分水岭算法,进化规划,控制标记符

Abstract: In order to solve over-segmentation in watershed algorithm, this paper proposed a combination of evolutionary programming and control tags in image preprocessing technique of the watershed image segmentation method. The method was based on evolutionary programming Birth-death process, restructured structural elements of the control tags, and reorganized the minimum values for each of the marked points, with it modified the control tags and then doing watershed transform, achieved the image region segmentation. The experimental results show that the method can effeclively solve the issue of over-segmentation in watershed algorithm, and still retaining a variety of important target area.And it can split the image characteristics and specific requirements by adjusting the segmentation process to get the satisfaction of selected parameters image segmentation results.

Key words: Image segmentation, Watershed algorithm, Evolutionary programming, Control tags

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