Abstract
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 language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Publisher | Springer Verlag |
| Pages | 256-263 |
| Number of pages | 8 |
| Volume | 2124 |
| ISBN (Print) | 9783540425137 |
| Publication status | Published - 2001 |
| Externally published | Yes |
| Event | 9th International Conference on Computer Analysis of Images and Patterns, CAIP 2001 - Warsaw, Poland Duration: 2001 Sep 5 → 2001 Sep 7 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 2124 |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 9th International Conference on Computer Analysis of Images and Patterns, CAIP 2001 |
|---|---|
| Country | Poland |
| City | Warsaw |
| Period | 01/9/5 → 01/9/7 |
Fingerprint
Keywords
- Biomedical images
- Color spaces
- Image thinning
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
Color thinning with applications to biomedical images. / Nedzved, A.; Ilyich, Y.; Ablameyko, S.; Kamata, Seiichiro.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2124 Springer Verlag, 2001. p. 256-263 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2124).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Color thinning with applications to biomedical images
AU - Nedzved, A.
AU - Ilyich, Y.
AU - Ablameyko, S.
AU - Kamata, Seiichiro
PY - 2001
Y1 - 2001
N2 - 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.
AB - 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.
KW - Biomedical images
KW - Color spaces
KW - Image thinning
UR - http://www.scopus.com/inward/record.url?scp=78049244581&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78049244581&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9783540425137
VL - 2124
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 256
EP - 263
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer Verlag
ER -