Interactive image segmentation via adaptive weighted distances.

Journal Article (Journal Article)

An interactive algorithm for soft segmentation of natural images is presented in this paper. The user first roughly scribbles different regions of interest, and from them, the whole image is automatically segmented. This soft segmentation is obtained via fast, linear complexity computation of weighted distances to the user-provided scribbles. The adaptive weights are obtained from a series of Gabor filters, and are automatically computed according to the ability of each single filter to discriminate between the selected regions of interest. We present the underlying framework and examples showing the capability of the algorithm to segment diverse images.

Full Text

Duke Authors

Cited Authors

  • Protiere, A; Sapiro, G

Published Date

  • April 2007

Published In

Volume / Issue

  • 16 / 4

Start / End Page

  • 1046 - 1057

PubMed ID

  • 17405436

Electronic International Standard Serial Number (EISSN)

  • 1941-0042

International Standard Serial Number (ISSN)

  • 1057-7149

Digital Object Identifier (DOI)

  • 10.1109/tip.2007.891796


  • eng