Journal of Signal and Information Processing

Volume 14, Issue 1 (February 2023)

ISSN Print: 2159-4465   ISSN Online: 2159-4481

Google-based Impact Factor: 1.78  Citations  

White Blood Cells Detection Using Spectral Tresholding

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DOI: 10.4236/jsip.2023.141001    178 Downloads   1,017 Views  Citations

ABSTRACT

The study of the morphology of White Blood Cells (WBCs) further contributes to the clinical diagnosis of blood diseases. In this research paper, we come up with an image segmentation enhancement by combining Fourier Fast Transform on smear blood capture and classical thresholding. The Fast Fourier Transform (FFT) is a very powerful tool in image processing and it was used to segment and extract the WBCs. Our image processing method uses a Fast Fourier Transform combined with filtering and an Inverse Fast Fourier Transform for the extraction and visualization of the high frequency region of the image. In order to remove residual Red Blood Cells acting as noise in the expected result, a final thresholding step is added at the end of the processing. The results presented in this article report the tests performed using our mathematical implementation. Moreover, we were able to detect and differentiate the sub-families of WBCs.

Share and Cite:

Lama, K. , Moustapha, B. and Ali, T. (2023) White Blood Cells Detection Using Spectral Tresholding. Journal of Signal and Information Processing, 14, 1-8. doi: 10.4236/jsip.2023.141001.
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