Nature-inspired optimization algorithms and their application in multi-thresholding image segmentation
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 …
solutions has to be performed within a complex search domain to find an optimal solution …
Monarch butterfly optimization algorithm for computed tomography image segmentation
In the medical field, image segmentation provides important information for surgical
planning and registration, and thus demands accurate segmentation. In order to improve the …
planning and registration, and thus demands accurate segmentation. In order to improve the …
Harmony search algorithm based on dual-memory dynamic search and its application on data clustering
Harmony Search (HS) algorithm is highly effective in solving a wide range of real-world
engineering optimization problems. However, it still has the problems such as being prone …
engineering optimization problems. However, it still has the problems such as being prone …
Equilibrium optimizer-based harmony search algorithm with nonlinear dynamic domains and its application to real-world optimization problems
Harmony Search (HS) algorithm is a swarm intelligence algorithm inspired by musical
improvisation. Although HS has been applied to various engineering problems, it faces …
improvisation. Although HS has been applied to various engineering problems, it faces …
Comparative analysis of differential evolution algorithm using shannon, fuzzy, and cosine similarity entropy functions for satellite image segmentation
This paper illustrates a comparative analysis of thresholding based novel technique for
satellite image segmentation. Differential evolution algorithm is implemented for multilevel …
satellite image segmentation. Differential evolution algorithm is implemented for multilevel …