DocumentCode
1933494
Title
A novel color image segmentation method and its application to white blood cell image analysis
Author
Wu, JianHua ; Zeng, Pingping ; Zhou, Yuan ; Olivier, Christian
Author_Institution
Sch. of Inf. Eng., Nanchang Univ.
Volume
2
fYear
2006
fDate
16-20 2006
Abstract
According to the fact that the H component in HSI color space contains most of the white blood cell information, and the S component contains the structure information of the white blood cell nucleus, we develop an iterative Otsu´s approach based on circular histogram for the leukocyte segmentation by taking full advantage of this knowledge. Experimental results show that this method works successfully in the segmentation of color smear microscopic images
Keywords
blood; image colour analysis; image segmentation; medical image processing; H component; S component; circular histogram; color image segmentation method; color smear microscopic images; hue-saturation-intensity space; iterative approach; leukocyte segmentation; structure information; white blood cell image analysis; white blood cell information; white blood cell nucleus; Clustering algorithms; Feature extraction; Histograms; Image color analysis; Image edge detection; Image segmentation; Iterative methods; Microscopy; Silicon carbide; White blood cells;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2006 8th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9736-3
Electronic_ISBN
0-7803-9736-3
Type
conf
DOI
10.1109/ICOSP.2006.345700
Filename
4128992
Link To Document