Title :
Arc segmentation from complex line environments-a vector-based stepwise recovery algorithm
Author :
Dori, Dov ; Wenyin, Liu
Author_Institution :
Fac. of Ind. Eng. & Manage., Technion-Israel Inst. of Technol., Haifa, Israel
Abstract :
Accurate arc segmentation, essential for high level engineering drawing understanding is very difficult due to noise, clutter, tangency, and intersections with other geometry objects. We present an application of a generic methodology for recognition of multicomponent graphic objects in engineering drawings to the segmentation of circular arcs. The underlying mechanism is a sequential stepwise recovery of components that are segmented as wire fragments during the sparse pixel vectorization process and meet a set of continuity conditions. Proper threshold selection and consistent checking of co-circularity of the assumed arc pieces result in an accurate arc segmentation method
Keywords :
document image processing; engineering graphics; image segmentation; object recognition; accurate arc segmentation; arc segmentation method; circular arc segmentation; co-circularity; complex line environments; consistent checking; continuity conditions; generic methodology; geometry objects; high level engineering drawing understanding; multicomponent graphic object recognition; sequential stepwise recovery; sparse pixel vectorization process; threshold selection; vector based stepwise recovery algorithm; wire fragments; Bars; Equations; Geometry; Hydrogen; Image sampling; Phase detection;
Conference_Titel :
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Conference_Location :
Ulm
Print_ISBN :
0-8186-7898-4
DOI :
10.1109/ICDAR.1997.619817
