SEPARATION AND RECOGNITION OF LINE AND ARCS FOR DRAWINGS VECTORIZATION
Ren Jin · Jisuanji gongcheng · 2001
As an important branch in modern image processing, drawing image vectorization has high research value and broad applications. In this paper, a general method for meta-graph recognition is proposed based on curve fitting and separation of line and smooth curve. Though line and arc separation, sharp angle and arc end judgement, and segmentation of inverted tangency arcs, various basic metas can be well recognized. Both theoretical analysis and experiment results have shown that the proposed method has good and efficient performance for different drawing images.