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Quality Assessment and Classification of Heart Sounds Using PCG Signals Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Blood Cell Counting and Segmentation Using Image Processing Techniques

Authors : Ayesha Hoor Chaudhary, Javeria Ikhlaq, Muhammad Aksam Iftikhar, Maham Alvi

Published in: Applications of Intelligent Technologies in Healthcare

Publisher: Springer International Publishing

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Abstract

The accurate count of a patient’s blood cells is vital for successful diagnosis of a plethora of diseases. Current systems deployed in Pakistan either rely on heavy and expensive machinery or is sometimes conducted manually. We propose the use of digital image processing techniques to build a cheaper alternative, that rely on digital images of blood smears, which are economical to produce, and are in fact a costless feature built-in to most existing lab microscopes. In this work, morphological image processing is deployed to segment the image and to differentiate and extract the blood cells from the plasma. The algorithm will exploit the shape and radius of blood cells for counting. After segmenting blood cells, their counting becomes a trivial task. The proposed system will be complementary to medical practitioners and provide a second opinion for their subjective diagnosis.

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Metadata
Title
Blood Cell Counting and Segmentation Using Image Processing Techniques
Authors
Ayesha Hoor Chaudhary
Javeria Ikhlaq
Muhammad Aksam Iftikhar
Maham Alvi
Copyright Year
2019
Book
Applications of Intelligent Technologies in Healthcare

Print ISBN: 978-3-319-96138-5

Electronic ISBN: 978-3-319-96139-2

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-96139-2_9