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Segmentation of map image using opponent color dimensions

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

This article describes a method for segmentation of color geographic map images based on color opponency. In this method, a color-map image is transformed into a color opponent representation as proposed for human vision. The color contrast is enhanced in a manner anglogous to the opponent surround receptive fields. The enhancement process separates adjacent foreground and background regions into pairs of opponent colors. The segmentation process can then be easily completed based on this opponent Structure. © 1996 John Wiley & Sons. Inc.
Original languageEnglish
Pages (from-to)115-120
JournalColor Research and Application
Volume21
Issue number2
DOIs
Publication statusPublished - Apr 1996
Externally publishedYes

Research Keywords

  • Color discrimination factor
  • Color image segmentation
  • Color opponency
  • Computer vision

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