Definition of a model-based detector of curvilinear regions
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Detection and matching of curvilinear structures
Pattern Recognition
| Hi-index | 0.00 |
This paper describes an efficient approach for the detection of line junctions in gray-level images. The algorithm is divided into two steps. First, given the lines extracted from the original image, local line curvature is estimated. For this purpose, two different measures of curvature are proposed: The rate of change of direction of the orientation vector along the line and the mean of the dot products of orientation vectors within a given neighborhood. The second step involves the localization of junctions. Examples are provided based on experiments with synthetic and real images.