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Segmentation of map image using opponent color dimensions
Author(s) -
Liu Ningyan,
Yan Hong,
Martin Paul
Publication year - 1996
Publication title -
color research and application
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.393
H-Index - 62
eISSN - 1520-6378
pISSN - 0361-2317
DOI - 10.1002/(sici)1520-6378(199604)21:2<115::aid-col5>3.0.co;2-x
Subject(s) - artificial intelligence , computer vision , segmentation , computer science , process (computing) , contrast (vision) , color image , representation (politics) , image segmentation , image (mathematics) , pattern recognition (psychology) , image processing , politics , political science , law , operating system
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 analogous 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.