Accurate Junction Detection and Reconstruction in Line-Drawing Images
The-Anh Pham, Mathieu Delalandre, Sabine Barrat, Jean-Yves Ramel · 2012
In this paper, we present an approach for junction detection and reconstruction in line-drawing images. Our approach is shifted to a problem of high curvature point detection from the skeleton of image. Like this, it is independent of any vectorization process and pa-rameter free. The junction reconstruction stage takes benefit of the reliable skeleton segments and their topo-logical relations to reconstruct junctions and make their positions accurate. The experimental results show that the proposed method is competitive with other baseline methods and can achieve accurate junction detection with some pixel errors. 1.