Structure-adaptive B-snake for segmenting complex objects

Y. Wang, E. K. Teoh, D. Shen

Research output: Contribution to conferencePaper

20 Citations (Scopus)

Abstract

In this paper, we presented a structure-adaptive B-snake model for segmenting the complex structures in medical images. A strategy of automatic control-point insertion, adaptive to the structure of the studied object, has been proposed. Furthermore, a method of minimum mean square energy (MMSE) is developed to iteratively estimate the position of those control points in the B-snake model. By applying the proposed structure-adaptive B-snake model to medical images, we show that our method is robust and accurate in object contour extraction.

Original languageEnglish
Pages769-772
Number of pages4
Publication statusPublished - 2001
EventIEEE International Conference on Image Processing (ICIP) - Thessaloniki, Greece
Duration: 2001 Oct 72001 Oct 10

Other

OtherIEEE International Conference on Image Processing (ICIP)
CountryGreece
CityThessaloniki
Period01/10/701/10/10

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

Wang, Y., Teoh, E. K., & Shen, D. (2001). Structure-adaptive B-snake for segmenting complex objects. 769-772. Paper presented at IEEE International Conference on Image Processing (ICIP), Thessaloniki, Greece.