Modified active contour algorithm (MAXA) based on the edge direction information

Dinggang Shen, Feihu Qi

Research output: Contribution to journalArticle

Abstract

A method named MACA was suggested. In the general Snake model, there is no required matching between orientation of the contour and edge direction in the grey-level image. This kind of Snake model may fail in the image with rich texture or with concave objects. To avoid it, two energy functions based on the above mentioned ideas were proposed to improve the Snake model. To reduce the time cost in the iteration of MACA, a fast Gready algorithm was proposed. Also, the first-order and second-order derivative, domain of searching area, contour resampling, and conditions of corner locking were redefined. Experimental results show that the proposed method is much better than the general Snake model, especially in searching for the concave objects.

Original languageEnglish
Pages (from-to)45-50
Number of pages6
JournalHongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves
Volume16
Issue number1
Publication statusPublished - 1997 Feb 1
Externally publishedYes

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snakes
locking
iteration
textures
costs
energy

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

Cite this

Modified active contour algorithm (MAXA) based on the edge direction information. / Shen, Dinggang; Qi, Feihu.

In: Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves, Vol. 16, No. 1, 01.02.1997, p. 45-50.

Research output: Contribution to journalArticle

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