Segmentation of White Blood Cell Areas from Colour Degraded Microscope Slide Images

Lina, Lina and Dewayani, Ery and Chris, Arlends Segmentation of White Blood Cell Areas from Colour Degraded Microscope Slide Images. Segmentation of White Blood Cell Areas from Colour Degraded Microscope Slide Images.

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Abstract

Advances in computer technology have increased in most aspects of medical
analysis, such as for diagnosing diseases, treating drugs, analysing organs, and others.
Computers are often used as a tool for analysis of medical images. This paper describes an
automatic segmentation process of white blood cell areas on given microscopic images. The
input of the system is microscope slide images with various staining conditions. Some images
contain colour degradations due to imperfect staining process, while some images are in
excellent staining condition. The Hough Transform method is applied for the segmentation
process of the white blood cells detection. The system classifies each detected white blood cell
area in one of the three defined categories (Small, Medium, and Large). The segmentation
accuracy of the proposed system was 40.58% for images with colour degradation, while 100%
segmentation accuracy was achieved by the system for images with excellent staining
condition.

Item Type:	Article
Subjects:	Penelitian > Fakultas Teknologi Informasi
Divisions:	Fakultas Teknologi Informasi > Teknik Informatika
Depositing User:	Puskom untar untar
Date Deposited:	18 Dec 2020 03:40
Last Modified:	18 Dec 2020 03:40
URI:	https://repotest.untar.ac.id/id/eprint/13624

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