Skip to main content
Journal cover image

Color Snakes

Publication ,  Journal Article
Sapiro, G
Published in: Computer Vision and Image Understanding
January 1, 1997

A framework for object segmentation in vector-valued images is presented in this paper. The first scheme proposed is based on geometric active contours moving toward the objects to be detected in the vector-valued image. Object boundaries are obtained as geodesies or minimal weighted-distance curves, where the metric is given by a definition of edges in vector-valued data. The curve flow corresponding to the proposed active contours holds formal existence, uniqueness, stability, and correctness results. The scheme automatically handles changes in the deforming curve topology. The technique is applicable, for example, to color and texture images as well as multiscale representations. We then present an extension of these vector active contours, proposing a possible image flow for vector-valued image segmentation. The algorithm is based on moving each one of the image level sets according to the proposed vector active contours. This extension also shows the relation between active contours and a number of partial-differential-equations-based image processing algorithms as anisotropic diffusion and shock filters. © 1997 Academic Press.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Computer Vision and Image Understanding

DOI

ISSN

1077-3142

Publication Date

January 1, 1997

Volume

68

Issue

2

Start / End Page

247 / 253

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4607 Graphics, augmented reality and games
  • 4603 Computer vision and multimedia computation
  • 4602 Artificial intelligence
  • 1702 Cognitive Sciences
  • 0801 Artificial Intelligence and Image Processing
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Sapiro, G. (1997). Color Snakes. Computer Vision and Image Understanding, 68(2), 247–253. https://doi.org/10.1006/cviu.1997.0562
Sapiro, G. “Color Snakes.” Computer Vision and Image Understanding 68, no. 2 (January 1, 1997): 247–53. https://doi.org/10.1006/cviu.1997.0562.
Sapiro G. Color Snakes. Computer Vision and Image Understanding. 1997 Jan 1;68(2):247–53.
Sapiro, G. “Color Snakes.” Computer Vision and Image Understanding, vol. 68, no. 2, Jan. 1997, pp. 247–53. Scopus, doi:10.1006/cviu.1997.0562.
Sapiro G. Color Snakes. Computer Vision and Image Understanding. 1997 Jan 1;68(2):247–253.
Journal cover image

Published In

Computer Vision and Image Understanding

DOI

ISSN

1077-3142

Publication Date

January 1, 1997

Volume

68

Issue

2

Start / End Page

247 / 253

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4607 Graphics, augmented reality and games
  • 4603 Computer vision and multimedia computation
  • 4602 Artificial intelligence
  • 1702 Cognitive Sciences
  • 0801 Artificial Intelligence and Image Processing