Skip to main navigation Skip to search Skip to main content

Enhanced snakes algorithm for contour detection

  • Pong Chi Yuen*
  • , Y. Y. Wong
  • , Chong Sze Tong
  • *Corresponding author for this work

Research output: Contribution to conferenceConference paperpeer-review

5 Citations (Scopus)

Abstract

The contour based technique has been proven to be an effective approach in object recognition. This paper describes an enhanced snakes algorithm (ESA) for contour detection. In ESA, a novel split and merge technique is added to the original snakes model so as to enhance the model to support concave object contour detection. A set of images is selected to evaluate the proposed algorithm and the results are encouraging.

Original languageEnglish
Pages54-59
Number of pages6
DOIs
Publication statusPublished - 8 Apr 1996
EventProceedings of the 1996 IEEE Southwest Symposium on Image Analysis and Interpretation - San Antonio, TX, USA
Duration: 8 Apr 19969 Apr 1996

Conference

ConferenceProceedings of the 1996 IEEE Southwest Symposium on Image Analysis and Interpretation
CitySan Antonio, TX, USA
Period8/04/969/04/96

Fingerprint

Dive into the research topics of 'Enhanced snakes algorithm for contour detection'. Together they form a unique fingerprint.

Cite this