In this paper, a new well-organized fusion-based 3D Otsu energy thresholding prototypical
for multilevel color image segmentation by means of lightning search algorithm (LSA) has …

Image thresholding is one of the most frequently used methods in image processing to
perform digital image processing. Image thresholding has a technique that can separate the …

Process mining in the context of information systems, which consists of information flows,
has been one of the major research areas in the past decade. One of the most common …

One of the highly focused areas in the medical science community is segmenting tumors
from brain magnetic resonance imaging (MRI). The diagnosis of malignant tumors at an …

Thresholding is one of the most common techniques for image segmentation where an
image is partitioned into several parts based on its histogram of pixel intensities …

Maximum variance threshold selection (MVTS) has been extensively used in image
thresholding. However, conventional MVTS algorithms are time-consuming, in particular …

Image segmentation is a crucial stage in digital image processing used to obtain a more
straightforward representation of images. Although classic bi-level segmentation is a …

Multilevel thresholding is a significant technology for image segmentation. Traditional
exhaustive search method to solve the optimal multilevel thresholds is time consuming, color …

In this paper, the multilevel thresholding method based on Kapur's entropy and the recently
proposed multi-swarm particle swarm optimization with a dynamic learning strategy is …

In this paper, to synthesize grade uncertainty into the strategic mine schedule, a stochastic
mixed-integer programming framework (SMIP) is presented for the long-term production …