Novel snake model with wavelet-based energy minimization

Bo Ma, Tianwen Zhang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The external force of original snake model by integrating gradient directional information explicitly and then derive a new active contour model. Thus, in minimizing the snake energy, the proposed new model employs both the gradient magnitude and gradient direction information, which can provide better segmentation results. Based on dynamic programming approach to snake model, a wavelet-based multiresolution algorithm is proposed in this article for energy minimization. Combined with Mallat's wavelet-based edge detection theory, the proposed multiresolution algorithm can greatly decrease the amount of computation, become more flexible in selecting filter than continuation method, and has less initial position sensitivity and parameter sensitivity which makes the setting of parameters simplified.

Original languageEnglish
Title of host publicationProceedings of the Second International Symposium on Instrumentation Science and Technology
EditorsT. Jiubin, W. Xianfang, T. Jiubin, W. Xianfang
Pages3/479-3/484
Publication statusPublished - 2002
Externally publishedYes
EventProceedings of the second International Symposium on Instrumentation Science and Technology - Jinan, China
Duration: 18 Aug 200222 Aug 2002

Publication series

NameProceedings of the Second International Symposium on Instrumentation Science and Technology
Volume3

Conference

ConferenceProceedings of the second International Symposium on Instrumentation Science and Technology
Country/TerritoryChina
CityJinan
Period18/08/0222/08/02

Keywords

  • Active contour model
  • Boundary extraction
  • Dynamic programming
  • Snake model
  • Wavelet transform

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