Medical imaging techniques play a critical role in diagnosing diseases and patient
healthcare. They help in treatment, diagnosis, and early detection. Image segmentation is …

Multi-level thresholding is a helpful tool for several image segmentation applications.
Evaluating the optimal thresholds can be applied using a widely adopted extensive scheme …

The segmentation of medical images by computational methods has been claimed by the
medical community, which has promoted the development of several algorithms regarding …

This paper presents a modified version of Manta ray foraging optimizer (MRFO) algorithm to
deal with global optimization and multilevel image segmentation problems. MRFO is a meta …

Multilevel-thresholding is an efficient method used in image segmentation. This paper
presents a hybrid meta-heuristic approach for multi-level thresholding image segmentation …

In this paper, optimal multi-level image segmentation is proposed using the Firefly Algorithm
(FA). In this work, RGB histogram of the image is considered for bi-level and multi-level …

Multi-level thresholding is one of the effective segmentation methods that have been applied
in many applications. Traditional methods face challenges in determining the suitable …

Image processing is needed in medical discipline for variety of disease assessments. In this
work, Firefly Algorithm (FA)-assisted approach is implemented to extract tumor from brain …

The image segmentation techniques based on multi-level threshold value received lot of
attention in recent years. It is because they can be used as a pre-processing step in complex …

In ophthalmology, retinal optic nerveand discinspection is a generally adopted procedure to
diagnose a variety of diseases, such as aging, diabetes, optic neuritis, glaucoma …