City Research Online

Abstract

This paper compares the effects of colour pre-processing on the classification performance of H&E-stained images. Variations in the tissue preparation procedures, acquisition systems, stain conditions and reagents are all source of artifacts that can affect negatively computer-based classification. Pre-processing methods such as colour constancy, transfer and deconvolution have been proposed to compensate the artifacts. In this paper we compare quantitatively the combined effect of six colour pre-processing procedures and 12 colour texture descriptors on patch-based classification of H&E-stained images. We found that colour pre-processing had negative effects on accuracy in most cases – particularly when used with colour descriptors. However, some pre-processing procedures proved beneficial when employed in conjunction with classic texture descriptors such as co-occurrence matrices, Gabor filters and Local Binary Patterns.

Publication Type:	Conference or Workshop Item (Paper)
Additional Information:	The final authenticated publication is available online at https://doi.org/10.1007/978-3-030-23937-4_7.
Publisher Keywords:	Colour, Histology, Hematoxylin, Eosin, Texture
Departments:	School of Science & Technology > Computer Science > giCentre School of Science & Technology > Engineering

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