Description: Accurate Centerline Detection and Line Width
Estimation of Thick Lines Using the Radon Transform Platform: |
Size: 756736 |
Author:cmoi |
Hits:
Description: 利用Radon变换研究直线目标的方法,利用Radon变换研究直线目标的方法-Radon transform line detection using the method targets,Radon transform line detection using the method targets, Platform: |
Size: 205824 |
Author:王伟 |
Hits:
Description: One of the most popular approaches to detect lines is based on the Radon transform (RT). But in real-world applications
RT-based approach suffers the noise and clutter, because they decrease the sharpness of the local maximums.
In this paper we suggest a new approach to computational effective line detection using the Weighted Radon Transform
(WRT). The suggested WRT-based approach uses gradient direction information, so only the differences that are
perpendicular to the line direction are integrated to make a local maximum corresponding to the line.
The theoretical and experimental studies show the effectiveness of the WRT-based line detection. The suggested WRTbased algorithm can be effectively implemented in real-time systems using parallelization and FFT-based techniques.
Keywords: Radon transform, line detection, object detection.-One of the most popular approaches to detect lines is based on the Radon transform (RT). But in real-world applications
RT-based approach suffers the noise and clutter, because they decrease the sharpness of the local maximums.
In this paper we suggest a new approach to computational effective line detection using the Weighted Radon Transform
(WRT). The suggested WRT-based approach uses gradient direction information, so only the differences that are
perpendicular to the line direction are integrated to make a local maximum corresponding to the line.
The theoretical and experimental studies show the effectiveness of the WRT-based line detection. The suggested WRTbased algorithm can be effectively implemented in real-time systems using parallelization and FFT-based techniques.
Keywords: Radon transform, line detection, object detection. Platform: |
Size: 550912 |
Author:Lamine |
Hits: