A Partition-Based Active Contour Model Incorporating Local Information for Image Segmentation

Joint Authors

Wu, Jiaji
Paul, Anand
Gong, Maoguo
Shi, Jiao
Jiao, Licheng

Source

The Scientific World Journal

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-19, 19 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-07-24

Country of Publication

Egypt

No. of Pages

19

Main Subjects

Medicine
Information Technology and Computer Science

Abstract EN

Active contour models are always designed on the assumption that images are approximated by regions with piecewise-constant intensities.

This assumption, however, cannot be satisfied when describing intensity inhomogeneous images which frequently occur in real world images and induced considerable difficulties in image segmentation.

A milder assumption that the image is statistically homogeneous within different local regions may better suit real world images.

By taking local image information into consideration, an enhanced active contour model is proposed to overcome difficulties caused by intensity inhomogeneity.

In addition, according to curve evolution theory, only the region near contour boundaries is supposed to be evolved in each iteration.

We try to detect the regions near contour boundaries adaptively for satisfying the requirement of curve evolution theory.

In the proposed method, pixels within a selected region near contour boundaries have the opportunity to be updated in each iteration, which enables the contour to be evolved gradually.

Experimental results on synthetic and real world images demonstrate the advantages of the proposed model when dealing with intensity inhomogeneity images.

American Psychological Association (APA)

Shi, Jiao& Wu, Jiaji& Paul, Anand& Jiao, Licheng& Gong, Maoguo. 2014. A Partition-Based Active Contour Model Incorporating Local Information for Image Segmentation. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-19.
https://search.emarefa.net/detail/BIM-1051291

Modern Language Association (MLA)

Shi, Jiao…[et al.]. A Partition-Based Active Contour Model Incorporating Local Information for Image Segmentation. The Scientific World Journal No. 2014 (2014), pp.1-19.
https://search.emarefa.net/detail/BIM-1051291

American Medical Association (AMA)

Shi, Jiao& Wu, Jiaji& Paul, Anand& Jiao, Licheng& Gong, Maoguo. A Partition-Based Active Contour Model Incorporating Local Information for Image Segmentation. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-19.
https://search.emarefa.net/detail/BIM-1051291

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1051291