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

The significance and requirements of digital image processing arise from two main areas of
applications: the improvement of visual information for human interpretation and the …

The segmentation of medical images by computational methods has been claimed by the
medical community, which has promoted the development of several algorithms regarding …

Multilevel-thresholding is an efficient method used in image segmentation. This paper
presents a hybrid meta-heuristic approach for multi-level thresholding image segmentation …

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 …

Image processing is extensively considered in medical field for computer-supported disease
assessment. Brain tumor is one of the deadliest cancers for the human community and …

Multi-level thresholding is one of the effective segmentation methods that have been applied
in many applications. Traditional methods face challenges in determining the suitable …

Image segmentation is necessity of many application like brain tumor detection, optical
character recognition, thermal energy leakage detection, Face recognition etc. multilevel …

Ischemic Stroke (IS) is usually initiated due to the neurological shortfall in human brain and
which can be recognized by inspecting the periphery of the brain sections. In this paper, a …

Image processing is needed in medical discipline for variety of disease assessments. In this
work, Firefly Algorithm (FA)-assisted approach is implemented to extract tumor from brain …