Dimensionality Reduction for Colour Based Pixel Classification
2009 (English)In: Proceedings SSBA 2009: Symposium on Image Analysis, Halmstad, March 18-20 / [ed] Josef Bigun, Antanas Verikas, Halmstad: Halmstad University , 2009, 65-68 p.Conference paper (Other academic)
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.
Place, publisher, year, edition, pages
Halmstad: Halmstad University , 2009. 65-68 p.
color image analysis, human skin color, face detection, fluorescence microscopy, cross talk, dimensionality reduction
Computer Vision and Robotics (Autonomous Systems)
Research subject Computerized Image Analysis
IdentifiersURN: urn:nbn:se:uu:diva-111371ISBN: 978-91-633-3924-0OAI: oai:DiVA.org:uu-111371DiVA: diva2:280827
Swedish Symposium in Image Analysis (SSBA) 2009
ProjectsEU-Strep project ENLIGHT (ENhanced LIGase based Histochemical Techniques)