Name
Abstract | ||
|---|---|---|
This paper presents a novel approach for automatic detection of white blood cells in bone marrow microscopic images. Far more different from traditional color imaging analysis methods, a multispectral imaging techniques for image analysis is introduced. Multispectral image can not only show the spatial features of a cell, but also reveal the unique spectral information of each pixel. The supported vector machine (SVM) classifier is employed to train the spectrum vector of a pixel, and the output of the classifier can indicate the class type of the pixel: nucleus, erythrocytes, cytoplasm and background. Experimental results show that, compared with any other method previously reported, our method is more robust, precise and insensitive to smear staining and illumination condition. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11539117_32 | ICNC (2) |
Keywords | Field | DocType |
automatic detection,class type,multispectral image,novel multispectral imaging analysis,spectrum vector,multispectral imaging technique,bone marrow microscopic image,vector machine,white blood cell detection,image analysis,traditional color imaging analysis,support vector machine,spectrum,color image,multispectral images | Computer vision,Computer science,Support vector machine,Multispectral image,Image processing,Pixel,Multispectral pattern recognition,Artificial intelligence,Classifier (linguistics),Luminance,Color image | Conference |
Volume | ISSN | ISBN |
3611 | 0302-9743 | 3-540-28325-0 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongbo Zhang | 1 | 14 | 5.68 |
| Libo Zeng | 2 | 0 | 0.68 |
| Hengyu Ke | 3 | 1 | 1.02 |
| Hong Zheng | 4 | 14 | 3.29 |
| Qiongshui Wu | 5 | 2 | 1.20 |