Image segmentation is a basic problem in computer vision and various image processing
applications. Over the years, commonly used image segmentation has become quite …

Breast cancer is one of the common type of cancer in females across the world. An early
detection and diagnosis of breast cancer may reduce the mortality rate to a great extent. To …

Recently, a novel virus called COVID-19 has pervasive worldwide, starting from China and
moving to all the world to eliminate a lot of persons. Many attempts have been experimented …

Many countries are challenged by the medical resources required for COVID-19 detection
which necessitates the development of a low-cost, rapid tool to detect and diagnose the …

COVID-19 is pervasive and threatens the safety of people around the world. Therefore, now,
a method is needed to diagnose COVID-19 accurately. The identification of COVID-19 by X …

The separation of an object from other objects or the background by selecting the optimal
threshold values remains a challenge in the field of image segmentation. Threshold …

This chapter proposes a novel scheme for texture segmentation based on ant colony
optimization (ACO). Texture segmentation and texture characteristic expression are two …

Nature-inspired algorithms emulate the mathematical and innovative techniques for non-
linear and real-life problems worldwide. Imaging technology is emerging out as one of the …

In this paper, a novel context-based 3D Otsu algorithm using human learning optimization
(HLO) is proposed for multilevel color image segmentation. The performance of 3D Otsu …

Medical diseases seriously affect human life and health, and a segmentation model that can
effectively support doctors in making the correct diagnoses of medical disease images is …