Name
Abstract | ||
|---|---|---|
In this paper, we propose a novel method for malaria parasite detection based on phase spectrum. The method first obtains the amplitude spectrum and phase spectrum for blood smear images through Quaternion Fourier Transform (QFT). Then it gets the reconstructed image based on Inverse Quaternion Fourier transform (IQFT) on a constant amplitude spectrum and the original phase spectrum. The malaria parasite areas can be detected easily from the reconstructed blood smear images. Extensive experiments have demonstrated the effectiveness of this novel method. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IEMBS.2011.6091972 | EMBC |
Keywords | Field | DocType |
unsupervised malaria parasite detection,diseases,biomedical optical imaging,fourier transforms,microorganisms,blood smear images,phase spectrum,optical microscopy,inverse quaternion fourier transform,constant amplitude spectrum,iqft,medical image processing,blood,fourier transform,spectrum,quaternions,image reconstruction | Iterative reconstruction,Computer vision,Phase spectrum,Quaternion fourier transform,Computer science,Quaternion,Image based,Fourier transform,Malaria,Frequency spectrum,Artificial intelligence | Conference |
Volume | ISSN | ISBN |
2011 | 1557-170X | 978-1-4244-4122-8 |
Citations | PageRank | References |
1 | 0.36 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuming Fang | 1 | 1247 | 75.50 |
| Wei Xiong | 2 | 23 | 6.75 |
| Weisi Lin | 3 | 5366 | 280.14 |
| Zhenzhong Chen | 4 | 1244 | 101.41 |