• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2013, Vol. 35 ›› Issue (4): 93-98.

• 论文 • 上一篇    下一篇

融合改进分水岭和区域生长的彩色图像分割方法

陈丽芳,刘一鸣,刘渊   

  1. (江南大学数字媒体学院,江苏 无锡 214122)
  • 收稿日期:2011-11-28 修回日期:2012-05-07 出版日期:2013-04-25 发布日期:2013-04-25
  • 基金资助:

    国家自然科学基金资助项目(60903100);江苏省科技厅基金资助项目(BE2009009).

Color image segmentation by combining
improved watershed and region growing         

CHEN Lifang,LIU Yiming,LIU Yuan   

  1. (School of Digital Medium,Jiangnan University,Wuxi 214122,China)
  • Received:2011-11-28 Revised:2012-05-07 Online:2013-04-25 Published:2013-04-25

摘要:

彩色图像分割结果的好坏直接影响对图像的理解。针对分水岭分割存在过分割现象,以及以像素为种子的区域生长速度慢的现象,基于LUV色彩空间模型,提出了融合分水岭和区域生长的方法,对彩色图像进行分割。实验表明,该方法分割效果好、速度快。

关键词: 彩色图像, 图像分割, 分水岭分割, 区域生长, LUV色彩空间

Abstract:

The result of color image segmentation directly affects understanding the image. The watershed segmentation has over-segmentation phenomenon, and a pixel as the seed region grows slowly. Aiming at these two problems, the paper proposed a new color image segmentation method that is based on LUV color space model and combines watershed and region growing. The experiments show that the method features high effect and fast speed.

Key words: color image;image segmentation;watershed segmentation;region growing;LUV color space