A Novel Approach for Bi-Level Segmentation of Tuberculosis Bacilli Based on Meta-Heuristic Algorithms

A Novel Approach for Bi-Level Segmentation of Tuberculosis Bacilli Based on Meta-Heuristic Algorithms

Image thresholding is the most crucial step in microscopic image analysis to distinguish bacilli objects causing of tuberculosis disease. Therefore, several bi-level thresholding algorithms are widely used to increase the bacilli segmentation accuracy. However, bi-level microscopic image threshold...

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Bibliographic Details
Main Authors: AYAS, S., DOGAN, H., GEDIKLI, E., EKINCI, M.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2018-02-01
Series:Advances in Electrical and Computer Engineering
Subjects:
computer aided analysis
heuristic algorithms
image segmentation
information entropy
particle swarm optimization
Online Access:http://dx.doi.org/10.4316/AECE.2018.01014

Internet

http://dx.doi.org/10.4316/AECE.2018.01014

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