IEEE Transactions on Pattern Analysis and Machine Intelligence
Vanishing Point Detection by Line Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vanishing Point Detection without Any A Priori Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Road lane segmentation using dynamic programming for active safety vehicles
Pattern Recognition Letters
Applying fuzzy method to vision-based lane detection and departure warning system
Expert Systems with Applications: An International Journal
Interpreting perspective images
Artificial Intelligence
The Essential Guide to Image Processing
The Essential Guide to Image Processing
| Hi-index | 12.05 |
Thales' second theorem can be used for the automatic detection of the vanishing points of an image. This paper explores its reliability and accuracy according to the type of operator used for the detection of edges. An algorithm has been used which processes a photographic image according to the operator selected. The result is a point cloud which is then used to find the desired solution. The comparison between the four discrete gradient operators (Frei-Chen, Prewitt, Roberts and Sobel) has been made taking into account the resolution of the image and the number of vanishing points. The results obtained show that Frei-Chen's operator shows good performance in determining vanishing points with respect to the spatial X axis, Sobel's operator is the best for determining the vanishing point with respect to the spatial Y axis, Roberts' operator gives good results for calculating vanishing points in both spatial axes, and Prewitt's operator is not appropriate for processing this type of image.