TY - GEN
T1 - Object contour extraction based on intensity and texture information
AU - Qizhi, Xu
AU - Lei, Hu
AU - Bo, Li
AU - Yangke, Liu
PY - 2009
Y1 - 2009
N2 - In this paper, we propose a new method to extract object contour in a given gray-level image, whose foreground and background are statistically homogeneous and different. Firstly, the image for contour extraction is decomposed by discrete wavelet transform, and the high-pass and low-pass components are used to form intensity and texture energy respectively. Secondly, a minimal partition function, which combines intensity, texture and contour length energy, is made to model the contour extraction problem. Finally, the model is formulated in terms of level set function to obtain a numerical solution. Experiments have been performed on synthetic and remote-sensing images, and the results demonstrated that our method can adaptively use intensity and texture information to accurately extract object contour.
AB - In this paper, we propose a new method to extract object contour in a given gray-level image, whose foreground and background are statistically homogeneous and different. Firstly, the image for contour extraction is decomposed by discrete wavelet transform, and the high-pass and low-pass components are used to form intensity and texture energy respectively. Secondly, a minimal partition function, which combines intensity, texture and contour length energy, is made to model the contour extraction problem. Finally, the model is formulated in terms of level set function to obtain a numerical solution. Experiments have been performed on synthetic and remote-sensing images, and the results demonstrated that our method can adaptively use intensity and texture information to accurately extract object contour.
KW - Active contours
KW - Contour extraction
KW - Discrete wavelet transform
KW - Euler equation
KW - Feature saliency
KW - Level set
UR - http://www.scopus.com/inward/record.url?scp=73849109000&partnerID=8YFLogxK
U2 - 10.1109/CISP.2009.5304331
DO - 10.1109/CISP.2009.5304331
M3 - Conference contribution
AN - SCOPUS:73849109000
SN - 9781424441310
T3 - Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09
BT - Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09
T2 - 2009 2nd International Congress on Image and Signal Processing, CISP'09
Y2 - 17 October 2009 through 19 October 2009
ER -