Indian Journal of Science and Technology
Year: 2019, Volume: 12, Issue: 20, Pages: 1-7
Sufola Das Chagas Silva Araujo1*, Meenakshi Sundaram Karuppaswamy2 and V. S. Malemath3
1Department of Computer Science Engineering, Visvesvaraya Technology University, Machhe - 590018, Belgaum, Karnataka, India; [email protected]
2Department of Engineering , Faculty of Engineering and Applied Sciences, Botho University, Gaborone, Botswana; [email protected]
3Department of Computer Science Engineering, KLE Dr MSS College of Engg. & Tech., Udyambag - 590008, Belgaum, Karnataka, India; [email protected]
*Author for correspondence
Sufola Das Chagas Silva Araujo
1 Department of Computer Science Engineering, Visvesvaraya Technology University, Machhe - 590018, Belgaum, Karnataka, India.
Email: [email protected]
Cells in our blood can be categorized. Pathologist detects these blood cells and diagnoses different disease. This paper describes the way in which we can detect these cells in body by using the concept of image processing. The manual way of detecting these cells and diagnosing the disease is very time consuming and has more chances of making mistakes. This method is developing to identify the cell when any cell image is given as an input. The methodology used is, image acquisition, image segmentation, trained images, test images, feature extraction of cells, feature vector dataset, similarity of cells. This will detect the different cells.
Keywords: Feature Extraction, Image Segmentation, Red Blood Cells (RBC).White Blood Cells (WBC)
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