Fruit category identification is important in factories, supermarkets, and other fields. Current
computer vision systems used handcrafted features, and did not get good results. In this …

Grey wolf optimizer (GWO) is a very efficient metaheuristic inspired by the hierarchy of the
Canis lupus wolves. It has been extensively employed to a variety of practical applications …

In this paper, a novel satellite image segmentation technique based on dynamic Harris
hawks optimization with a mutation mechanism (DHHO/M) is proposed. Compared with the …

Brain tumor diagnosis is a challenging and difficult process in view of the assortment of
conceivable shapes, regions, and image intensities. The pathological detection and …

Thanks to fewer numbers of control parameters and easier implementation, the Elephant
Herding Optimization (EHO) has been gaining research interest during the past decade. In …

Image segmentation is among the most important techniques in image processing, and
many methods have been developed to perform this task. This paper presents a new multi …

In this article is introduced an improved version of Fast Fuzzy C-Means (FFCM) by using the
Crow Search optimization Algorithm (CSA) for the task of data clustering. In the proposed …

Multilevel thresholding of images helps in separating the interesting objects from their
background. The quality of separation depends much on the selected threshold values. This …

An efficient satellite image segmentation method based on a hybrid grasshopper
optimization algorithm (GOA) and minimum cross entropy (MCE) is proposed in this paper …

In this paper, a new hybrid whale optimization algorithm (WOA) called WOA-DE is proposed
to better balance the exploitation and exploration phases of optimization. Differential …