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 …

Gravitational search algorithm is a population-based optimization method. To address its
low search performance and premature convergence, a novel variant called adaptive …

Color image thresholding is a well-known approach for image segmentation. An objective
function, based on image entropy, is defined by threshold numbers and locations in the color …

Gravitational search algorithm (GSA) is widely accepted as one of the effective optimization
algorithms providing promising results. However, it suffers with local optima and premature …

The gravitational search algorithm is a global optimization algorithm that has the advantages
of a swarm intelligence algorithm. Compared with traditional algorithms, the performance in …

Image segmentation has an important role in image processing and computer vision and it is
widely used in numerous applications, including feature extraction, pattern recognition …

The particle size of pellets is an important parameter in steel big data, and the high density
and high overlap rate of pellets bring a great challenge to particle size detection. To address …