DocumentCode
417631
Title
The detection of junction features in images
Author
Laganière, Robert ; Elias, Rimon
Author_Institution
Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont., Canada
Volume
3
fYear
2004
fDate
17-21 May 2004
Abstract
This paper presents a new junction detection operator that defines junctions as points where linear ridges in the gradient domain intersect. The radial lines that compose the junction are therefore identified by searching, in a circular neighborhood, for directional maxima of the intensity gradient. The proposed algorithm operates on two binary edge maps, the computational complexity of the detection process is then considerably reduced.
Keywords
edge detection; feature extraction; binary edge maps; circular neighborhood searching method; detection process computational complexity reduction; gradient domain linear ridge intersections; image junction feature detection; intensity gradient directional maxima; junction detection operator; junction radial lines; Computational complexity; Computer vision; Convergence; Data mining; Detection algorithms; Detectors; Image converters; Image edge detection; Information technology; Semiconductor counters;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8484-9
Type
conf
DOI
10.1109/ICASSP.2004.1326609
Filename
1326609
Link To Document