Therefore, BM motion estimation can be approached as an optimization problem, where the goal is to find the best matching block within a search space.
The EMO algorithm is used to find the circle candidate that is better related with the real circle present in the image according to the objective function.
This paper explores the use of the Artificial Bee Colony (ABC) algorithm to compute threshold selection for image segmentation.
In the field of image analysis, segmentation is one of the most important preprocessing steps.
This paper proposes a new stopping criterion for the mean shift iterative algorithm, where stopping threshold via entropy is used now, but in another way.