INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Detection of Accurate Segmentation in Blood Cells Count –A Review
Authors Name:
Hajara Abdulkarim Aliyu
Unique Id:
IJSDR1708006
Published In:
Volume 2 Issue 8, August-2017
Abstract:
Abstract—The count of WBC, RBC and platelets Cells are very crucial to diagnose various diseases. Diseases like thalassaemia, anaemia, leukaemia and Thrombocytopenia etc, cannot be easily diagnosed by conventional methods. Methods such as manual calculation and manual measurement of white blood cells (WBC), red blood cells (RBC) and Platelets are tedious and time consuming and yield incorrect results. The Healthcare centres are focusing on approach to generate report on blood cell count in a fast and cost-effective way. In market, there are numerous systems available for the automatic Quantification of blood cells. These systems allow counting the number of different types of cells within the blood smear slides, but these machines are too expensive. The objective of this survey is to review a computer vision system that used image processing algorithms to detect and estimate the number of RBC, WBC and Platelets in the blood sample image. In this survey, segmentation is the most important factor in image processing to enable researcher/health practitioners to have excellent result for blood cells counts. Image processing algorithms involve seven major steps: image acquisition, image enhancement, image segmentation, image labelling/detection and counting/Disease detection. Image segmentation is reviewed and highlighted for future research direction.
Keywords:
Red Blood Cells; Segmentation; White Blood Cell; Platelets
Cite Article:
"Detection of Accurate Segmentation in Blood Cells Count –A Review ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 8, page no.28 - 32, August-2017, Available :http://www.ijsdr.org/papers/IJSDR1708006.pdf
Downloads:
000336256
Publication Details:
Published Paper ID: IJSDR1708006
Registration ID:170696
Published In: Volume 2 Issue 8, August-2017
DOI (Digital Object Identifier):
Page No: 28 - 32
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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