Medical image analysis helps in resolving clinical issues by examining clinically generated
images. In today's world of deep learning (DL) along with advances in computer vision, the …

This paper studied the multilevel threshold image segmentation-based metaheuristics
optimization methods and their applications. Image segmentation is a common problem in …

Grey wolf optimizer (GWO) is a widespread metaphor-based algorithm based on the
enhanced variants of velocity-free particle swarm optimizer with proven defects and …

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 …

Multilevel thresholding is one of the most commonly used methods in image segmentation.
However, the exhaustive search method is computationally expensive for selecting the …

With the wide spread of image information, it is an urgent problem to protect image property
rights and crack down on piracy. Watermarking algorithm is an effective means to solve the …

This article presents an improved version of Fractional Order Darwinian PSO (IFODPSO) for
segmenting 3D histogram-based color images at multiple levels of Berkley Segmentation …

The lesions of COVID-19 CT image show various kinds of ground-glass opacity and
consolidation, which are distributed in left lung, right lung or both lungs. The lung lobes are …

A new multilevel thresholding based image segmentation technique is developed which
utilizes Masi entropy as an objective function. Thresholding is an important image …

The damaged areas of brain tissues can be extracted by using segmentation methods, most
of which are based on the integration of machine learning and data mining techniques. An …