Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

Medical imaging techniques play a critical role in diagnosing diseases and patient
healthcare. They help in treatment, diagnosis, and early detection. Image segmentation is …

Multilevel thresholding image segmentation has received considerable attention in several
image processing applications. However, the process of determining the optimal threshold …

Segmentation is an important step of image processing that directly affects its success.
Among the methods used for image segmentation, histogram-based thresholding is a very …

Phytopigment and nutrient concentration determination normally rely on laboratory chemical
analysis. However, non-destructive and onsite measurements are necessary for intelligent …

The utilization of automated techniques for processing and analyzing medical images can
offer significant support to doctors in their diagnostic and therapeutic practices. This study …

Image segmentation is a method of subdividing an image into numerous meaningful regions
or objects, which shows the image more informative for further analysis. Thresholding based …

In order to address the problems of Coyote Optimization Algorithm in image thresholding,
such as easily falling into local optimum, and slow convergence speed, a Fuzzy Hybrid …

In this paper, a new well-organized fusion-based 3D Otsu energy thresholding prototypical
for multilevel color image segmentation by means of lightning search algorithm (LSA) has …

Thresholding-based approaches are widely used for image segmentation due to their low
computational cost and complexity and ease of implementation. We proposed a novel …