Variational Level Set Evolution for Non-rigid 3D Reconstruction from a Single Depth Camera

Author(s):  
Miroslava Slavcheva ◽  
Maximilian Baust ◽  
Slobodan Ilic
2014 ◽  
Vol 568-570 ◽  
pp. 710-715
Author(s):  
Jian Jun Yuan ◽  
Jian Jun Wang

This paper presents a wavelet energy map based on an active contour model for medical image segmentation and bias correction in a variational level set framework. In our model the wavelet transform amplifies the faint dissimilarities between regions, and we model the distribution of intensity belonging to each tissue as a Gaussian distribution with spatially varying mean and variance. In addition, we modify the intensity mean as the product of the bias field and true image. Tissue segmentation and bias correction are simultaneously achieved via a level set evolution process. Experiments on images of various modalities demonstrated the superior performance of the proposed approach.


2009 ◽  
Vol 19 (12) ◽  
pp. 3161-3169 ◽  
Author(s):  
Chuan-Jiang HE ◽  
Meng LI ◽  
Yi ZHAN

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