Nature-inspired computing has yielded remarkable applications of collective intelligence which considers simple elements for solving complex tasks by common interaction. On the other hand, automatic circle detection in digital images has been considered an important and complex task for the computer vision community that has devoted a tremendous amount of research, seeking for an optimal circle detector. This paper presents an algorithm for the automatic detection of circular shapes embedded into cluttered and noisy images without considering conventional Hough transform techniques. The approach is based on a nature-inspired technique known as the Electro-magnetism Optimization (EMO). It follows the electro-magnetism principle regarding a c...
Bio-inspired computing has demonstrated to be useful in several application areas. Over the last dec...
Automatic circle detection in digital images has received considerable attention over the last years...
Circle detection over digital images has received considerable attention from the computer vision co...
Optimization approaches, inspired by different metaphors, have recently attracted the interest of th...
Nature-inspired computing has yielded remarkable applications of collective intelligence which consi...
Optimization approaches, inspired by different metaphors, have recently attracted the interest of th...
Abstract This article presents an algorithm for the automatic detection of circular shapes from comp...
Hough transform (HT) has been the most common method for circle detection that delivers robustness b...
This paper presents an algorithm for the automatic detection of circular shapes from complicated and...
This paper presents an algorithm for the automatic detection of circular shapes from complicated and...
Hough transform (HT) has been the most common method for circle detection that delivers robustness b...
Bio-inspired computing has demonstrated to be useful in several application areas. Over the last dec...
Circle detection over digital images has received considerable attention from the computer vision co...
Hough transform has been the most common method for circle detection, exhibiting robustness, but adv...
Medical imaging is a relevant field of application of image processing algorithms. In particular, th...
Bio-inspired computing has demonstrated to be useful in several application areas. Over the last dec...
Automatic circle detection in digital images has received considerable attention over the last years...
Circle detection over digital images has received considerable attention from the computer vision co...
Optimization approaches, inspired by different metaphors, have recently attracted the interest of th...
Nature-inspired computing has yielded remarkable applications of collective intelligence which consi...
Optimization approaches, inspired by different metaphors, have recently attracted the interest of th...
Abstract This article presents an algorithm for the automatic detection of circular shapes from comp...
Hough transform (HT) has been the most common method for circle detection that delivers robustness b...
This paper presents an algorithm for the automatic detection of circular shapes from complicated and...
This paper presents an algorithm for the automatic detection of circular shapes from complicated and...
Hough transform (HT) has been the most common method for circle detection that delivers robustness b...
Bio-inspired computing has demonstrated to be useful in several application areas. Over the last dec...
Circle detection over digital images has received considerable attention from the computer vision co...
Hough transform has been the most common method for circle detection, exhibiting robustness, but adv...
Medical imaging is a relevant field of application of image processing algorithms. In particular, th...
Bio-inspired computing has demonstrated to be useful in several application areas. Over the last dec...
Automatic circle detection in digital images has received considerable attention over the last years...
Circle detection over digital images has received considerable attention from the computer vision co...