Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

This paper comprehensively analyzes the Manta Ray Foraging Optimization (MRFO)
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …

Threshold segmentation based on swarm intelligence optimization algorithm is a research
hotspot in image processing, because of its good segmentation effect and easy …

Whale optimization algorithm (WOA) has been developed based on the hunting behavior of
humpback whales. Though it has a considerable convergence speed, WOA suffers from …

The shape optimization of complex curves is a crucial and intractable technique in computer
aided geometric design and widely used in many product design and manufacturing fields …

Metaheuristic algorithms are currently being studied in depth by many scholars, and it is an
important task to improve the learning and adaptive capabilities of the algorithms so that …

Multilevel thresholding is one of the most commonly used methods in image segmentation.
However, the exhaustive search methods are costly in determining optimal thresholds and …

Image processing is an evolving field that calls for more powerful techniques to extract
useful information from images. In particular, image segmentation is a preprocessing step …

Bone age assessment (BAA) is mainly utilized for detecting the growth of pediatrics because
a large number of bone diseases occur at young age. Several algorithms related to BAAs …

The manta ray foraging optimization algorithm (MRFO) is a recently proposed meta-heuristic
algorithm that mimics the foraging process of manta rays. It has yielded good outcomes in …