Shape Deformation Using Golden Section Search in PCA-Based Statistical Shape Model

Weiping Liu, Yanfeng Shang, Xin Yang, Rudi Deklerck, Jan Cornelis

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

An effective shape deformation method derived from a PCA-based statistical shape model (SSM) using the Golden Section Search (GSS) method is presented. The PCA-based SSM has proved to be a simple and effective method in model based segmentation and has been used in medical image analysis for soft tissue extraction. The gradient descent method is widely applied to search the optimal values for the transformation and deformation parameters to fit the model to specific image features. We use Golden Section Search instead, yielding some conceptual advantages, and experimentally illustrated good performance as well as lower execution times compared to gradient descent methods.
Original languageEnglish
Title of host publicationIFMBE Proceedings
PublisherSpringer
Pages659-662
Number of pages4
Volume37
ISBN (Print)978-3-642-23507-8
Publication statusPublished - 11 Oct 2012

Publication series

Name5th European Conference of the International Federation for Medical and Biological Engineering, IFMBE Proceedings
Number1/6

Keywords

  • Active contour model
  • Golden section search
  • Statistical shape model

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