Image segmentation is considered a crucial step required for image analysis and research.
Many techniques have been proposed to resolve the existing problems and improve the …

Image segmentation is the process of splitting a digital image into distinct segments or
categories based on shared characteristics like texture, color, and intensity. Its primary aim is …

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 …

Breast cancer is one of the leading causes of death in women due to the abnormal growth of
cells known as a tumour. Thermography is an imaging technique used to capture infrared …

Multilevel thresholding is a simple and powerful image segmentation method that has
received widespread attention in recent years. However, the accuracy and stability of …

Image segmentation plays a vital role in various medical applications for automated disease
examination. In this paper, heuristic algorithm assisted approach is proposed to extract the …

Lagoon has been widely used to treat animal wastewater. However, because lagoon
effluent often fluctuates in water quality, land application of the effluent may pose a risk to the …

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 …

Breast cancer is one of the common cancers in women community and the early diagnosis
of breast cancer will improve the survival rate. Thermography is one of the non-invasive and …

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 …