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计算机工程 ›› 2006, Vol. 32 ›› Issue (11): 197-199,215.

• 人工智能及识别技术 • 上一篇    下一篇

基于形态学尺度空间的多尺度图像分割研究

刘海华1,2,陈州徽2,谢长生1   

  1. 1. 华中科技大学计算机科学与技术学院,武汉 430074;2. 中南民族大学电子信息工程学院,武汉 430074
  • 出版日期:2006-06-05 发布日期:2006-06-05

Multiscale Image Segmentation Based on Morphological Scale Space

LIU Haihua1,2,CHEN Zhouhui2,XIE Changsheng1   

  1. 1. College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074;2. College of Electronical and Information Engineering, South-central University for Nationalities, Wuhan 430074
  • Online:2006-06-05 Published:2006-06-05

摘要: 给出了图像层次分割的新架构,阐述了基于重构形态学操作的尺度空间产生方法,提出了基于形态学尺度空间和形态学分水岭的多尺度分割策略,其目的是生成图像的分割堆栈,并通过链接技术获得有意义的对象分割。该文给出了对各种图像的分割的实验结果,验证了分割策略的有效性

关键词: 图像分割;形态学尺度空间;形态学分水岭;形态学操作

Abstract: This paper presents a new framework for the hierarchical segmentation of various images. The scale-space is based on morphologicalanisotropic diffusion that uses reconstruction morphological operators. The proposed scheme for multiscale segmentation comprises a morphologicalscale-space and morphological gradient watersheds. Its aim is to produce steak of image segmentation and obtain a meaningful hierarchy among theobjects in the image by linking technique. The experimental results of the proposed scheme are obtained with a wide range of image includingnatural scenes. The result shows that the scheme is effective.

Key words: Image segmentation; Morphological scale space Morphological watersheds; Morphological operation