Name
Abstract | ||
|---|---|---|
This work presents a novel fast method for line segment extraction, based on a chain code representation of edge maps. It has a parallel nature and can be employed on parallel machines. In the first phase it breaks the macro chains into several micro chains after applying shifting, smoothing and differentiating. The micro chains are then approximated by straight line segments. In the second phase, based on the length and the error criteria, the line segments are grouped into much longer lines. The experimental results show a significant improvement in the number of line segments extracted while their accumulative length keeps high. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ICME.2004.1394202 | Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference |
Keywords | Field | DocType |
edge detection,feature extraction,image segmentation,parallel algorithms,CBLSE,chain based line segment extraction,chain differentiation,chain smoothing,edge map chain code representation,image description,line segment grouping,macro chain shifting,micro chains,parallel machines,polygonal approximation,straight line segment approximation | Computer vision,Line segment,Line (geometry),Pattern recognition,Computer science,Edge detection,Feature extraction,Image segmentation,Smoothing,Artificial intelligence,Line segment intersection,Chain code | Conference |
Volume | ISBN | Citations |
1 | 0-7803-8603-5 | 0 |
PageRank | References | Authors |
0.34 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abdolah Chalechale | 1 | 73 | 7.12 |
| Golshah Naghdy | 2 | 29 | 9.36 |
| Prashan Premaratne | 3 | 72 | 15.97 |
| Moghaddasi, H. | 4 | 0 | 0.34 |