Images Processing for Segmentation Neisseria Bacteria Cells
1 Faculty of Engineering, Department of Electrical Control, El neelain University, Khartoum, Sudan.
2 Faculty of Computer and Information Technology, Department of Computer Engineering, Tabuk University, Tabuk, KSA.
Research Article
World Journal of Advanced Research and Reviews, 2021, 12(03), 573–579
Article DOI: 10.30574/wjarr.2021.12.3.0672
Publication history:
Received on 06 November 2021; revised on 18 December 2021; accepted on 20 December 2021
Abstract:
This paper introduces the segmentation of Neisseria bacterial meningitis images. Images segmentation is an operation of identifying the homogeneous location in a digital image. The basic idea behind segmentation called thresholding, which be classified as single thresholding and multiple thresholding. To perform images segmentation, transformations and morphological operations processes are used to segment the images, as well as image transformation an edge detecting, filling operation, design structure element, and arithmetic operations technique is used to implement images segmentation. The images segmentation represent significant step in extracting images features and diagnoses the disease by computer software applications.
Keywords:
Diseases; Neisseria; Meningitis; Cerebrospinal fluid; Diagnose
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Copyright © 2021 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0