Color image analysis to grade shades of a color and its application to quantify stained tissues

Keerthana Prasad, P. K. Nayak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper presents an approach to assign scores to the different shades of a particular color based on how close the shade is to the pure color. This can be used to quantify the stains which represent density of the substance under study in a histological tissue section. We developed the algorithm based on the YCrCb color model. Cr component provides a measure of 'redness' and Cb component provides a measure of 'blueness'. We extended the YCrCb color model to measure the color differences of magenta (Cm), yellow (Cy), cyan (Cc) and green (Cg). With the combination of these components with appropriate weightages, empirical formulae to quantify shades of each of these basic colors were developed. Using these formulae, each shade of a particular color is assigned a score which indicates how close it is to the particular color under consideration. This method was then applied to a study on the progress of pancreatic tumor in mice. The stains were quantified and the result verified.

Original languageEnglish
Title of host publication4th Kuala Lumpur International Conference on Biomedical Engineering 2008, Biomed 2008
Pages154-157
Number of pages4
Volume21 IFMBE
Edition1
DOIs
Publication statusPublished - 01-12-2008
Event4th Kuala Lumpur International Conference on Biomedical Engineering 2008, Biomed 2008 - Kuala Lumpur, Malaysia
Duration: 25-06-200828-06-2008

Conference

Conference4th Kuala Lumpur International Conference on Biomedical Engineering 2008, Biomed 2008
CountryMalaysia
CityKuala Lumpur
Period25-06-0828-06-08

All Science Journal Classification (ASJC) codes

  • Bioengineering
  • Biomedical Engineering

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  • Cite this

    Prasad, K., & Nayak, P. K. (2008). Color image analysis to grade shades of a color and its application to quantify stained tissues. In 4th Kuala Lumpur International Conference on Biomedical Engineering 2008, Biomed 2008 (1 ed., Vol. 21 IFMBE, pp. 154-157) https://doi.org/10.1007/978-3-540-69139-6-42