Each year, millions of dollars are invested on road maintenance and reparation all over the
world. In order to minimize costs, one of the main aspects is the early detection of those …

The Canny edge detector is one of the most widely used edge detection algorithms due to its
superior performance. Unfortunately, not only is it computationally more intensive as …

Canny edge detection is one of the most widely used edge detection algorithms due to its
superior performance. However, it is a complex, time-consuming process and has a high …

Implementation of Canny edge detection algorithm significantly outperforms the existing
edge detection techniques in many computer vision algorithms. However, Canny edge …

Automatic crack classification plays an essential role in road maintenance. Using many
features for the classification is inefficient for implementing embedded systems with low …

The Canny algorithm is one of the most commonly used edge detectors due to its superior
performance, especially in noisy environments. Its main limitation is that it is time consuming …

This work presents an efficient CUDA implementation of the Canny edge detection Filter for
the Insight Segmentation and Registration Toolkit (ITK). The algorithm is tested on three …

Surveillance systems are very important to prevent situations where armed people appear.
To minimize human supervision, there are algorithms based on artificial intelligence that …

The pulse coupled neural network (PCNN) algorithm has been effectively used in image
segmentation. In this paper, we proposed a new image auto-segmentation algorithm based …

In this paper, a new methodology for speeding up edge and line detection algorithms is
presented, achieving improved performance over the state of the art software library …