Interactive image segmentation via adaptive weighted distances

Alexis Protiere, Guillermo Sapiro

Research output: Contribution to journalArticlepeer-review

138 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1046-1057
Number of pages12
JournalIEEE Transactions on Image Processing
Volume16
Issue number4
DOIs
StatePublished - Apr 2007
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Graphics and Computer-Aided Design

Keywords

  • Adaptive weights
  • Distance functions
  • Interactive segmentation
  • Linear complexity
  • Natural images

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