Study on automatic segmentation of color images applied to blood cells / 生物医学工程学杂志
Journal of Biomedical Engineering
; (6): 251-255, 2002.
Article
in Zh
| WPRIM
| ID: wpr-263616
Responsible library:
WPRO
ABSTRACT
A hybrid segmentation algorithm is proposed for automatic segmentation of blood cell images based on adaptive multi-scale thresholding and seeded region growing techniques. Firstly, an adaptive and scale space filter (ASSF) is applied to image histogram and a scale space image is built. According to the properties of the scale space image, proper thresholds can be obtained to separate the nucleus from the original image and the white blood cells are located. Secondly, the local color similarity and global morphological criteria constrain seeded region growing in order to finish the segmentation of the cytoplasm. The detection accuracy of white blood cell is 98% and the segmentation accuracy based on the subjective evaluation is 93%. Test shows that this algorithm is effective for automatic segmentation of white blood cells.
Full text:
1
Index:
WPRIM
Main subject:
Automation
/
Blood Cells
/
Algorithms
/
Image Enhancement
/
Cell Nucleus
/
Color
/
Cytoplasm
/
Leukocytes
Limits:
Humans
Language:
Zh
Journal:
Journal of Biomedical Engineering
Year:
2002
Type:
Article