Segmentation Algorithm for Bone Marrow Cell Image Based on TheWavelet Transform and K-means Clustering
[1]SU Shi mei,LV Xue yang.Segmentation Algorithm for Bone Marrow Cell Image Based on TheWavelet Transform and K-means Clustering[J].Journal of Zhengzhou University (Engineering Science),2015,36(04):15-18.[doi:10.3969/j.issn.1671-6833.2015.04.004]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
36
Number of periods:
2015 04
Page number:
15-18
Column:
Public date:
2015-08-31
- Title:
- Segmentation Algorithm for Bone Marrow Cell Image Based on TheWavelet Transform and K-means Clustering
- CLC:
- TP317.4
- Abstract:
- A segmentation method based on the wavelet analysis is proposed in this paper for segmenting visi-ble components from the bone marrow cell. Firstly,the wavelet transform is used to erase the effect of defocus-ing.Secondly,G component is chosen as clustering the information of characteristic parameters by using thethreshold multi-scale wavelet analysis,which is combined with saturation component according to different dis-tribution characteristic of leukocyte nucleus to construct a transpositional image named STG. The nucleus areextract by thresholding the image.Ultimately,it can provide an optimal initial clustering centers for K-meansclustering method to segment the red blood cells and the white blood cells from the background as well as sepa-rate them from each other. Through comparative analysis and algorithm testing,this method can effectively o-vercome the difficulties of complex components,poor discrimination and complicated defocusing during thecells segmentation ,the accuracy rate reaches 94.15 % .
- References:
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