Modulus maximum image energy using maximum entropy

被引:0
作者
Heric, D [1 ]
Zazula, D [1 ]
机构
[1] Univ Maribor, Fac Elect Engn & Comp Sci, Lab Syst Software Lab, SLO-2000 Maribor, Slovenia
来源
PROCEEDINGS ELMAR-2005 | 2005年
关键词
image energy; active contours; snakes; deformable models;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A negative gradient of the image energy is a driving force which controls the movement of an active contour. We might say that the final shape depends most on how well the image energy is defined. Traditional image energy models produce a limited range of the force and a poor vector filed definition for concave regions. This limitations have been resolved by a gradient vector flow whose major disadvantage is computational time. However, we have proposed a novel modulus maximums image energy which is based on the wavelet transform. It is defined as a cubic spatial interpolation between adjacent modulus maxima. Its negative gradient has a large capture range and forces active contours also into a concave shape. At the end an example of active contour driven by the negative gradient of modulus maximum image energy is presented.
引用
收藏
页码:57 / 60
页数:4
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