Application of Biomedical Image Processing in Blood Cell Counting using Hough Transform

Author:

Mukherjee Manali1,Kamarujjaman 1,Maitra Mausumi1

Affiliation:

1. Government College of Engineering and Ceramic Technology, India

Abstract

In the field of biomedicine, blood cells are complex in nature. Nowadays, microscopic images are used in several laboratories for detecting cells or parasite by technician. The microscopic images of a blood stream contain RBCs, WBCs and Platelets. Blood cells are produced in the bone marrow and regularly released into circulation. Blood counts are monitored with a laboratory test called a Complete Blood Count (CBC). However, certain circumstances may cause to have fewer cells than is considered normal, a condition which is called “low blood counts”.This can be accomplished with the administration of blood cell growth factors. Common symptoms due to low red blood cells are:fatigue or tiredness, trouble breathing, rapid heart rate, difficulty staying warm, pale skin etc. Common symptoms due to low white blood cells are: infection, fever etc. It is important to monitor for low blood cell count because conditions could increase the risk of unpleasant and sometimes life-threatening side effects.

Publisher

IGI Global

Reference33 articles.

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3. Generalizing the Hough transform to detect arbitrary shapes

4. Barinova, O., Lempitsky, V., & Kohli, P. (2010). On the detection of multiple object instances using Hough Transforms, CVPR. Beckman Coulter. Retrieved from http://www.coulter.com/coulter/Hematology/

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