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Conference paper, 2009

Dimensionality Reduction for Colour Based Pixel Classification

Gavrilovic, Milan; Wählby, Carolina; Lindblad, Joakim; Bengtsson, Ewert


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


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


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

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