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» Image segmentation using curve evolution and flow fields
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ISBI
2004
IEEE
14 years 6 months ago
Differentiable Minimin Shape Distance For Incorporating Topological Priors in Biomedical Imaging
In the application of curve evolution and level set methods to biomedical image analysis, the incorporation of geometric priors for isolated shapes has been proved useful. On the ...
Yonggang Shi, William Clement Karl
CVPR
2000
IEEE
14 years 7 months ago
A Curve Evolution Approach to Smoothing and Segmentation Using the Mumford-Shah Functional
In this work, we approach the classic Mumford-Shah problem from a curve evolution perspective. In particular, we let a given family of curves define the boundaries between regions...
Andy Tsai, Anthony J. Yezzi, Alan S. Willsky
CVPR
2005
IEEE
13 years 7 months ago
A Two-Stage Level Set Evolution Scheme for Man-Made Objects Detection in Aerial Images
A novel two-stage level set evolution method for detecting man-made objects in aerial images is described. The method is based on a modified Mumford-Shah model and it uses a two-s...
Guo Cao, Xin Yang, Zhihong Mao
ICIP
2006
IEEE
14 years 7 months ago
Vector Field Convolution for Image Segmentation using Snakes
Snakes, or active contours, have been widely used in image processing applications. Typical roadblocks to consistent performance include limited capture range, noise sensitivity, ...
Bing Li, Scott T. Acton
TIP
2010
87views more  TIP 2010»
13 years 3 months ago
A Nonconservative Flow Field for Robust Variational Image Segmentation
—We introduce a robust image segmentation method based on a variational formulation using edge flow vectors. We demonstrate the nonconservative nature of this flow field, a fe...
Pratim Ghosh, Luca Bertelli, Baris Sumengen, B. S....