Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/12265
ชื่อเรื่อง: An Automatic Detection for Avian Blood Cell based on Adaptive Thresholding Algorithm
ผู้แต่ง: Meechart K.
Auethavekiat S.
Sa-Ing V.
Keywords: Biomedical engineering
Cells
Image segmentation
Mammals
Adaptive thresholding
Automatic Detection
Connected component analysis
Health screenings
Image morphology
Otsu thresholding
Red blood cell
Thresholding techniques
Blood
วันที่เผยแพร่: 2019
บทคัดย่อ: The chicken industry ranks tenth in the world in term of output in the world meat market. Red blood cell (RBC) count is one of the basic health screening protocol required in an exported meat industry. However, the human's automated blood analyzer cannot be applied to avian RBC, because the shape of avian blood (ellipse) is different from the mammal one (circle). In this paper, we propose 2-stage thresholding technique for automatic avian RBC counting. First, the blood smear slide is binarized into RBC and non-RBC area by applying Otsu thresholding. Then, image morphology and Otsu thresholding are reapplied to detect the blood nucleus. After that, the connected component analysis is applied to count the number of RBC. The experiment demonstrated that the proposed technique was simple and provided the count with error rate (2.23%) much less than the clinically acceptable value (5%). © 2019 IEEE.
URI: https://ir.swu.ac.th/jspui/handle/123456789/12265
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080046565&doi=10.1109%2fBMEiCON47515.2019.8990182&partnerID=40&md5=0e4778d42cdbdea80f1b94abdafac922
Appears in Collections:Scopus 1983-2021

Files in This Item:
There are no files associated with this item.


Items in SWU repository are protected by copyright, with all rights reserved, unless otherwise indicated.