Title :
The detection of junction features in images
Author :
Laganière, Robert ; Elias, Rimon
Author_Institution :
Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont., Canada
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326609
