Color thinning with applications to biomedical images

A. Nedzved, Y. Ilyich, S. Ablameyko, S. Kamata

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

1 Citation (Scopus)


A scheme for cell extraction in color histological images based edge detection and thinning is considered. An algorithm for thinning of color images is proposed that is based on thinning of pseudo gray-scale image. To extract accurately gray-scale levels, we propose a new coordinate system for color representation: system PHS, where P is a vector of color distance, H is a hue (chromaticity), S is a relative saturation. This coordinate system allows one to take into account specifics of histological images. Comparison of image thinning in other coordinate color systems is given that shows the image thinning in PHS system produces a rather high-quality skeleton of the objects in a color image. The proposed algorithm was tested on the histological images.

Original languageEnglish
Title of host publicationComputer Analysis of Images and Patterns - 9th International Conference, CAIP 2001, Proceedings
EditorsWladyslaw Skarbek
PublisherSpringer Verlag
Number of pages8
ISBN (Print)9783540425137
Publication statusPublished - 2001 Jan 1
Externally publishedYes
Event9th International Conference on Computer Analysis of Images and Patterns, CAIP 2001 - Warsaw, Poland
Duration: 2001 Sep 52001 Sep 7

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other9th International Conference on Computer Analysis of Images and Patterns, CAIP 2001


  • Biomedical images
  • Color spaces
  • Image thinning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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