DocumentCode
2223796
Title
Invariant line segmentation for object recognition
Author
So, W.C. ; Lee, C.K.
Author_Institution
Dept. of Electron. Eng., Hong Kong Polytech., Hung Hom, Hong Kong
fYear
1993
fDate
15-19 Nov 1993
Firstpage
1352
Abstract
A fast method of line segmentation using the dominant point approach is described. It is based on Lowe´s method. The contribution of this paper is successfully finding the way of selecting initial points for starting Lowe´s algorithms. This is a crucial step for getting dominant points which are stable under variant scales and orientations. An one-dimensional pyramid structure is designed to speed up the process. In addition, a parallel algorithm for edge linking is also illustrated. This further reduces the overall speed for line grouping
Keywords
edge detection; image segmentation; parallel algorithms; Lowe´s method; dominant point approach; edge linking; initial points; invariant line segmentation; line grouping; object recognition; one-dimensional pyramid structure; parallel algorithm; Arithmetic; Geometry; Hardware; Image edge detection; Joining processes; Object recognition; Parallel algorithms; Proposals; Shape; Tellurium;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on
Conference_Location
Maui, HI
Print_ISBN
0-7803-0891-3
Type
conf
DOI
10.1109/IECON.1993.339264
Filename
339264
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