Water damage is the primary cause of premature deterioration of asphalt pavement, leading
to a decrease in its durability. Hence, it is essential to utilize an effective approach for …

The image thresholding methods consume a lot of time due to computational complexity
when the number of threshold levels increases. In order to reduce computation time and …

K-means clustering is known to be the most traditional approach in machine learning. It's
been put to a lot of different uses. However, it has difficulty with initialization and performs …

Automated screening is employed to assist skin specialists in accurately detecting skin
lesions at an early stage. Multilevel thresholding is a widely popular and efficient technique …

Optimization techniques are required to find the best solutions to challenging problems in
many engineering disciplines. Metaheuristic algorithms that effectively increase search …

Computer vision techniques, aided by artificial intelligence, in medical image analysis, are
currently encouraged for precise and speedy diagnosis of brain disorders. The brain MR …

In computer vision and image processing, an important role is given to image segmentation.
As it can accurately extract and identify specific regions within an image. One of the key …

Image segmentation is considered one of the main image processing techniques based on
image histogram examination. These methods are used to examine the image histogram …

Cardiotocography (CTG) is a clinical procedure that is used to track and gauge the severity
of fetal distress. Although CTG is the most often used equipment to monitor and assess the …

Image segmentation plays a crucial role in various computer vision applications, and
thresholding is a commonly used technique. An image can be effectively segmented into …