Author Login Chief Editor Login Reviewer Login Editor Login Remote Office

Computer Engineering ›› 2006, Vol. 32 ›› Issue (11): 197-199,215.

• Artificial Intelligence and Recognition Technology • Previous Articles     Next Articles

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

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

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

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