… ) and Moth-Flame Optimization (MFO) to determine the optimal multilevel thresholding for
image segmentation. The MFO algorithm is inspired from the natural behavior of moths which …

… at the problem of multi-threshold image segmentation. According to the above improvements
… adaptive Moth-flame TH (SAMFO-TH) algorithm for multilevel thresholding segmentation. …

… image processing is image segmentation, in which an image is subdivided into meaningful
regions, referred to as image … is a simple and effective tool for image segmentation; however, …

… , image segmentation is a key step in image analyzing and processing that transforms the
original image … , which makes it possible for higher-level image analysis [21]. The expansion of …

… of fuzzy rules for image segmentation. … Moth-flame Optimizer algorithm in segmenting the
liver from MRI images. It results in a clustered image, which is multiplied by the statistical image …

… modified moth flame optimization (MMFO) algorithm for RGB color image segmentation …
The simulation results of MMFO for region based color image segmentation are performed better …

… Multilevel thresholding is a widely used image segmentation technique… Moth-Flame
Optimization (MFO) algorithm and then it is applied to multilevel thresholding for image segmentation…

… –Flame Optimization (MFO), such as its poor segmentation … moth–flame optimization with
the Otsu image segmentation … , the position updating of moths is controlled by fractional order…

… Multilevel thresholding is a popular image segmentation technique. However, … A new method
of multilevel thresholding based on Moth-Flame Optimization (MFO) algorithm is proposed …

… In this study, an upgraded variant of Moth flame optimization algorithm (Es-MFO) is … The
proposed Es-MFO algorithm is then used to solve the COVID-19 CT image segmentation …