DocumentCode :
3432301
Title :
FFT snake: a robust and efficient method for the segmentation of arbitrarily shaped objects in image sequences
Author :
Li, Tianqing ; Zhang, Yi ; Yao, Danya ; Hu, Dongcheng
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Volume :
2
fYear :
2004
fDate :
23-26 Aug. 2004
Firstpage :
116
Abstract :
A robust and efficient algorithm for segmenting arbitrarily shaped objects in images, which is called FFT snake, is proposed in this paper. A low-pass filter with the fast Fourier transform (FFT) of the curve as theoretic internal force is first introduced to smooth the contours. In real algorithm, it is composed of the curves trimming and crossing chains cutting. At last the contours are evolved in the direction of normal vectors of the curve to match the feature-map. The algorithm is then applied to the rapid video feedback on the motion for the real-time diving training. The results are highly encouraging to capture the contours of arbitrarily shaped objects for real-time tracking systems. We believe that FFT snake has wide uses in video compression, multimedia applications, and so on.
Keywords :
fast Fourier transforms; image segmentation; image sequences; low-pass filters; arbitrarily shaped objects; fast Fourier transform; image segmentation; image sequences; low-pass filter; rapid video feedback; real-time diving training; theoretic internal force; Active contours; Automation; Geophysics computing; Image segmentation; Image sequences; Low pass filters; Real time systems; Robustness; Shape; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-2128-2
Type :
conf
DOI :
10.1109/ICPR.2004.1334075
Filename :
1334075
Link To Document :
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