A new approach for intelligent object picking in line drawing images

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, recog...

Full description

Saved in:
Bibliographic Details
Published inProceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170) Vol. 2; pp. 1084 - 1088 vol.2
Main Authors Zao Jiang, Hong Zhao, Jiren Liu, Jun'an Hu
Format Conference Proceeding
LanguageEnglish
Published IEEE 1998
Subjects
Electrical capacitance tomography
Encoding
Image reconstruction
Pixel
Reflection
Skeleton
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:0818685123
9780818685125
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.1998.711881