Abstract

In digital images, providing classification based on colour, hue or spectral angle is a problem usually solved by combining a variety of pre-processing steps, as well as object wise classifiers. We have developed a method for transforming colour or multispectral image data to a 1D colour histogram with respect to the digital characteristics of intensity measurements. Classification is then reduced to 1D histogram segmentation which is a simpler problem. The proposed method, based on ideas of spectral decomposition, was previously applied in dual-colour fluorescence microscopy for quantification and detection of colocalization insensitive to cross-talk. In this paper the principle is expanded to unsupervised colour based pixel classification algorithms in hue-saturation-lightness or luminance-chrominance colour spaces

Keywords

color image analysis; human skin color; face detection; fluorescence microscopy; cross talk; dimensionality reduction

Published in

Book title: Proceedings SSBA 2009
ISBN: 978-91-633-3924-0
Publisher: EIS, Halmstad University

Conference

SSBA 2009: Symposium on Image Analysis,

SLU Authors

• Lindblad, Joakim

  • Centre for Image Analysis, Swedish University of Agricultural Sciences
    

• Bengtsson, Ewert

  • Centre for Image Analysis, Swedish University of Agricultural Sciences
    

Permanent link to this page (URI)

https://res.slu.se/id/publ/27367