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Counting of RBCs and WBCs in noisy normal blood smear microscopic images


Counting of RBCs and WBCs in noisy normal blood smear microscopic images

Habibzadeh, M, Krzyżak, A, Fevens, T and Sadr, A (2011) Counting of RBCs and WBCs in noisy normal blood smear microscopic images. In: Conference Title: Medical Imaging 2011: Computer-Aided Diagnosis., 15 February 2011, Lake Buena Vista, Florida, USA.

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This work focuses on the segmentation and counting of peripheral blood smear particles which plays a vital role in
medical diagnosis. Our approach profits from some powerful processing techniques. Firstly, the method used for
denoising a blood smear image is based on the Bivariate wavelet. Secondly, image edge preservation uses the Kuwahara
filter. Thirdly, a new binarization technique is introduced by merging the Otsu and Niblack methods. We have also
proposed an efficient step-by-step procedure to determine solid binary objects by merging modified binary, edged
images and modified Chan-Vese active contours. The separation of White Blood Cells (WBCs) from Red Blood Cells
(RBCs) into two sub-images based on the RBC (blood’s dominant particle) size estimation is a critical step. Using
Granulometry, we get an approximation of the RBC size. The proposed separation algorithm is an iterative mechanism
which is based on morphological theory, saturation amount and RBC size. A primary aim of this work is to introduce an
accurate mechanism for counting blood smear particles. This is accomplished by using the Immersion Watershed
algorithm which counts red and white blood cells separately. To evaluate the capability of the proposed framework,experiments were conducted on normal blood smear images. This framework was compared to other published
approaches and found to have lower complexity and better performance in its constituent steps; hence, it has a better
overall performance.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Computer Science and Software Engineering
Item Type:Conference or Workshop Item (Paper)
Authors:Habibzadeh, M and Krzyżak, A and Fevens, T and Sadr, A
Date:15 February 2011
Keywords:CBC - RBC - WBC - Denoising - binarization - active contours - watershed
ID Code:7705
Deposited On:12 Jul 2011 20:38
Last Modified:18 Jan 2018 17:31
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