期刊文献+

一种分阶段的形态学图像分割算法

Multi-step morph-based image segmentation algorithm
下载PDF
导出
摘要 图像分割算法的研究是计算机图像处理与识别技术的关键和难点所在。文中提出的分割算法可分为两步:首先运用基于数学形态学的预处理把图像中的前景简化,同时保留背景信息;然后通过采用上下游决策的改进算法来分割图像,以得到最终结果。针对医学图像样本进行实验,实验结果表明了算法的有效性。 The task of image segmentation is a crucial step in image processing which is an important application of computer vision. The algorithm presented in this article is composed of two steps, which are the morph-based preprocessing and the ameliorated watershed method. In the first step, the foreground is simplified and the background is kept as the same as possible, and then the ameliorated filed-decision watershed method is used to achieve the segmentation of images in the second step. The experimental result shows that the algorithm is effective.
出处 《红外与激光工程》 EI CSCD 北大核心 2004年第6期607-610,共4页 Infrared and Laser Engineering
关键词 数学形态学 预处理 图像分割 分割单元 Algorithms Computer vision Image analysis Mathematical morphology Watersheds
  • 相关文献

参考文献7

  • 1Fa-guo Yang, Tian-zi Jiang. Cell image segmentation with kernel-based dynamic clustering and an ellipsoidal cell shape model[J]. Journal of Biomedical Informatics, 2001,34(2) :67-73.
  • 2Andr'e Bleau ,Joshua Leon L. Watershed-based segmentation and region merging[J]. Computer Vision and Image Understanding, 2000,77(3) :317-370.
  • 3Filip Rooms, Wilfried Philips. Multi-resolution Techniques in Microscopical Image Processing [A]. G I T Imaging & Microscopy[C]. 2002, 4. 60-61.
  • 4Andrew Hunter. Gray-Scale Morphology[M]. Computer Vision, 2002,11.
  • 5Meyer F, Beucher S. Morphological Segmentation[A]. JVCIR[C]. 1990, 1.21-46.
  • 6Adams R ,Bischof L. Seeded region growing[J]. IEEE Trans Pattern Anal Mach Intell, 1994,16: 641-647.
  • 7Meyer F. Topographic distance and watershed lines[J]. Signal Process, 1994, 38(1) :113-125.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部