In this paper, we propose a multi-level thresholding model based on gray-level & local-
average histogram (GLLA) and Tsallis–Havrda–Charvát entropy for RGB color image. We …

In this paper, optimal multi-level image segmentation is proposed using the Firefly Algorithm
(FA). In this work, RGB histogram of the image is considered for bi-level and multi-level …

In this paper, a defect detection model using optimized Gabor filters, which is suitable for
real-time operation, is proposed to tackle the woven fabric inspection problem in fashion …

A metaheuristic algorithm called Harris hawks optimization (HHO) is gaining its popularity
among its clan and useful for optimization. In this algorithm, the prey gets completely …

Color image segmentation is the primary step to elicit detailed information of the image with
RGB color space. The key to acquire the region of interest is the straightforward, instinctual …

The existing methodologies used for multilevel thresholding are not efficient in terms of both
accuracy and computation time. Two-dimensional histogram-based techniques are better in …

The artificial bee colony is a popular evolutionary algorithm that exhibits strong exploration
ability but slow convergence. This paper proposes two new updating equations to boost the …

In this paper, a modified fuzzy entropy (MFE) function is proposed to perform the multilevel
thresholding of color images at different segmentation levels using Lévy flight guided firefly …

The fuzzy c-partition entropy has been widely adopted as a global optimization technique for
finding the optimal thresholds when performing multilevel gray image segmentation …

Image thresholding is a process that separates particular object within an image from their
background. An optimal thresholding technique can be taken as a single objective …