Open AccessEdge‐preserving colour‐to‐greyscale conversion
Author(s) -
Wu Ziran,
Robinson John
Publication year - 2014
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/iet-ipr.2013.0348
Subject(s) - grayscale , artificial intelligence , computer vision , enhanced data rates for gsm evolution , computer science , extractor , distortion (music) , pattern recognition (psychology) , cluster analysis , image (mathematics) , mathematics , engineering , telecommunications , amplifier , bandwidth (computing) , process engineering
This study introduces a colour‐to‐greyscale conversion method using colour clustering and multidimensional scaling that preserves region integrity, that is, it preserves edge structure without low‐frequency distortion. Edges can be extracted from the resulting greyscale images and the results will be close to those obtainable from the original colour image. We compare with prior‐art colour‐to‐greyscale conversion and a recent colour‐edge extractor and show superior performance in each case.