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 …

In the field of image processing, there are several problems where an efficient search of the
solutions has to be performed within a complex search domain to find an optimal solution …

Maize is a major global food crop and as one of the most productive grain crops, it can be
eaten; it is also a good feed for the development of animal husbandry and essential raw …

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 …

The diagnosis of leukemia involves the detection of the abnormal characteristics of blood
cells by a trained pathologist. Currently, this is done manually by observing the …

Image segmentation is a primary task in image processing which is widely used in object
detection and recognition. Multilevel thresholding is one of the prominent technique in the …

In order to realize the multilevel thresholding segmentation of color satellite images, a multi-
strategy emperor penguin optimizer (called MSEPO) is proposed to find the optimal …

Multilevel thresholding has important research value in image segmentation and can
effectively solve region analysis problems of complex images. In this paper, Otsu and …

Image segmentation is one of the pivotal steps in image processing due to its enormous
application potential in medical image analysis, data mining, and pattern recognition. In fact …