TY - GEN
T1 - Multi-resolution level set image segmentation using wavelets
AU - Al-Qunaieer, Fares S.
AU - Tizhoosh, Hamid R.
AU - Rahnamayan, Shahryar
PY - 2011
Y1 - 2011
N2 - Level set methods have been used for image segmentation. Because partial deferential equations are solved to propagate a curve, level-set image segmentation has a slow convergence speed. The objective of this paper is to propose a method that increases the convergence speed. The proposed approach exploits the benefit of multi-resolutional analysis. Wavelet transform is used to decompose the image into different resolutions. The obtained results show a great improvement in terms of speed and accuracy.
AB - Level set methods have been used for image segmentation. Because partial deferential equations are solved to propagate a curve, level-set image segmentation has a slow convergence speed. The objective of this paper is to propose a method that increases the convergence speed. The proposed approach exploits the benefit of multi-resolutional analysis. Wavelet transform is used to decompose the image into different resolutions. The obtained results show a great improvement in terms of speed and accuracy.
KW - level sets
KW - multi-resolution
KW - segmentation
UR - http://www.scopus.com/inward/record.url?scp=84856268053&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84856268053&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2011.6116225
DO - 10.1109/ICIP.2011.6116225
M3 - Conference contribution
AN - SCOPUS:84856268053
SN - 9781457713033
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 269
EP - 272
BT - ICIP 2011
T2 - 2011 18th IEEE International Conference on Image Processing, ICIP 2011
Y2 - 11 September 2011 through 14 September 2011
ER -