Improving the estimation of distribution algorithm with a differential mutation for multilevel thresholding image segmentation
Image segmentation consists of separating an image into regions that are entirely different
from each other, and multilevel thresholding is a method used to perform this task. This …
from each other, and multilevel thresholding is a method used to perform this task. This …
Exponential entropy-based multilevel thresholding using enhanced barnacle mating optimization
Multilevel Thresholding (MLT) is a prominent image segmentation research field that can
effectively handle problems encountered while collecting meaningful information from a …
effectively handle problems encountered while collecting meaningful information from a …
Brain Tumour Detection by Multilevel Thresholding Using Opposition Equilibrium Optimizer
The detection of the exact location of a tumour in a complex brain structure is one of the
emerging fields of a medical image segmentation study. The ability to segment tumours from …
emerging fields of a medical image segmentation study. The ability to segment tumours from …
Evolutionary multi-level thresholding for breast thermogram segmentation
In the pre-processing of the digital thermograms, multi-level thresholding plays a crucial role
in the segmentation of thermographic images for better clinical decision support. This paper …
in the segmentation of thermographic images for better clinical decision support. This paper …
Dombi entropy based multilevel thresholding of Liver CT scan images using leader slime mould algorithm
One of the efficient methods for segmenting images is multilevel thresholding. In this
research paper, a non-parametric based multilevel thresholding (MLT) approach based on …
research paper, a non-parametric based multilevel thresholding (MLT) approach based on …