Arc segmentation by stepwise recovery of vectorized pieces

Author

Dori, Dov ; Wenyin, Liu

Author_Institution

Fac. of Ind. Eng. & Manage., Technion-Israel Inst. of Technol., Haifa, Israel

fYear

1996

Firstpage

204

Lastpage

207

Abstract

Accurate arc segmentation is essential for high-level engineering drawing understanding and 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 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 vectorization process and meet the continuity conditions of the same circular arc. Proper threshold selection and consistent checking of co-circularity of the assumed arc pieces result in accurate circular arcs. Experimental results are presented and discussed

Keywords

geometry; image recognition; image reconstruction; image segmentation; object recognition; arc segmentation; circular arcs; co-circularity; continuity condition; geometry objects; high-level engineering drawing; multicomponent objects; recognition; sequential stepwise recovery; stepwise recovery; threshold selection; vectorization process; vectorized pieces; wire fragments; Clustering algorithms; Engineering drawings; Engineering management; Feature extraction; Geometry; Image segmentation; Industrial engineering; Object detection; Shape; Technology management;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Electronics Engineers in Israel, 1996., Nineteenth Convention of

Conference_Location

Jerusalem

Print_ISBN

0-7803-3330-6

Type

conf

DOI

10.1109/EEIS.1996.566930

Filename

566930