DocumentCode :
2763398
Title :
A new approach for intelligent object picking in line drawing images
Author :
Jiang, Zao ; Zhao, Hong ; Liu, Jiren ; Hu, Junan
Author_Institution :
Software Center, Northeast Univ. of Technol., Shenyang, China
Volume :
2
fYear :
1998
fDate :
16-20 Aug 1998
Firstpage :
1084
Abstract :
This paper proposes a new approach for picking raster entities in the intelligent raster editing process of line drawing images. The proposed method is based on the run-graph encoding principle and involves several key steps including: tracing the line in both positive and negative directions, recognizing line junction areas, property consistent tracing, and reconstructing line junction areas. It is shown, both in theory and experiments, that the algorithm provides a robust performance in recognizing the line junction areas and their reconstruction. By this approach, two kinds of basic raster entities could be picked up completely even in noise disrupted line drawing images
Keywords :
document image processing; edge detection; graph theory; image coding; image reconstruction; object recognition; optical tracking; contour tracing; document image processing; intelligent object picking; intelligent raster editing; line drawing images; line junction reconstruction; line tracing; run-graph encoding; vectorisation; Electrical capacitance tomography; Encoding; Image reconstruction; Pixel; Reflection; Skeleton;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
ISSN :
1051-4651
Print_ISBN :
0-8186-8512-3
Type :
conf
DOI :
10.1109/ICPR.1998.711881
Filename :
711881
Link To Document :
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