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 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 …

Introducing a novel approach to enhance the diversification and intensification propensities
of the flower pollination algorithm (FPA) is the main aim of this paper. Therefore, the …

In this paper, we propose a multi-class image segmentation method based on uncertainty
management by weak continuity constraints and neutrosophic set (NS). To manage the …

Multilevel image thresholding is a well-known technique for image segmentation. Recently,
various metaheuristic methods have been proposed for the determination of the thresholds …

Multilevel thresholding method is one of the most popular techniques in image
segmentation. However, the multilevel thresholding method is time-consuming, its time …

Image Segmentation using thresholding is one of the most significant areas of image
processing. However, the challenge lies in accurately and effectively segmenting medical …

Diabetic Retinopathy (DR) is one of the major causes of blindness. Many DR detection
systems were developed to segment and determine the type and number of lesions that …

In order to address the problems of Coyote Optimization Algorithm in image thresholding,
such as easily falling into local optimum, and slow convergence speed, a Fuzzy Hybrid …

Achieving a good recognition rate for degraded document images is difficult as degraded
document images suffer from low contrast, bleedthrough, and nonuniform illumination …