Title :
Comparing colour space models and pattern recognition techniques for segmentation of mammary tissue images
Author :
Toh, V. ; Gray, AJ ; Knight, CH ; Glasbey, Chris A.
Author_Institution :
Strathclyde Univ., Glasgow, UK
Abstract :
This paper uses image analysis and multivariate pattern recognition techniques to segment colour microscope images of stained mammary tissue sections, with the aim of automatically identifying and counting different types of cells in the image. Results are compared for 36 classifier-colour space combinations in terms of successful identification rate of cell nuclei and visual acceptability.
Keywords :
biological tissues; cellular biophysics; dairying; image classification; image colour analysis; image segmentation; automatic cell counting; automatic cell identification; cell nuclei; classifier-colour space combinations; colour microscope image segmentation; colour space models; image analysis; mammary tissue images; multivariate pattern recognition; stained mammary tissue sections; visual acceptability;
Conference_Titel :
Visual Information Engineering, 2003. VIE 2003. International Conference on
Print_ISBN :
0-85296-757-8
DOI :
10.1049/cp:20030510
