In this paper, the split fixed point and variational inclusion problem is considered. With the
help of fixed point technique, Tseng-type splitting method and self-adaptive rule, an iterative …

In this paper, the split fixed point and variational inclusion problems are considered. With the
help of fixed point technique, Tseng-type splitting method and self-adaptive rule, an iterative …

The aim of this paper is to show analytically and empirically how ant-based algorithms for
medical image edge detection can be enhanced by using an admissible perturbation of …

Nowadays, reliable medical diagnostics from computed tomography (CT) and X-rays can be
obtained by using a large number of image edge detection methods. One technique with a …

Edge detection technology plays an important role in medical image processing. Sobel
operator edge detection is one of the commonly used edge detection operators. At present …

Ant Colony Optimization is one of the most used methods applied to complex problems.
Image processing is a difficult task in particular when complex images are involved. This …

The study's goal is to compare the accuracy of the prewitt and robert algorithm in detecting
edges in photos. A total of 60 samples were used to create a dataset, which was then split …

Nowadays, swarm intelligence shows a high accuracy while solving difficult problems,
including image processing problem. Image Edge detection is a complex optimization …

Generally, a driver has moments of inattention, that can cause considerable damage. To
deal with this issue, we have to detect obstacles on the road automatically. To do that …