ayman el-baz 1 , seniha e. yuksel 1 , hongjian shi 1 , aly a. farag 1 ,

1
Ayman El-Baz 1 , Seniha E. Yuksel 1 , Hongjian Shi 1 , Aly A. Farag 1 , Mohamed A. El-Ghar 2 , Tarek Eldiasty 2 , Mohamed A. Ghoneim 2 1 Computer Vision and Image Processing Lab, University of Louisville 2 Mansoura University, Urology and Nephrology Center 2D and 3D Shape Based Segmentation Using Deformable Models #S3 2 Prior Shape urrent Gray Level Deformable Model 1 1 1 ( ()) (|) (|) ext s g pdk p qk 2 2 2 ( ()) (|) (|) ext s g pdk p qk 2 1 ext ext Assuming object: Assuming background: Evolve if: Signed distance map and gray level densities are estimated with our modified EM algorithm Results & Validation Average shape by FEM Result at -1.9dB SNR

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2D and 3D Shape Based Segmentation Using Deformable Models. #S32. Ayman El-Baz 1 , Seniha E. Yuksel 1 , Hongjian Shi 1 , Aly A. Farag 1 , Mohamed A. El-Ghar 2 , Tarek Eldiasty 2 , Mohamed A. Ghoneim 2 1 Computer Vision and Image Processing Lab, University of Louisville - PowerPoint PPT Presentation

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Page 1: Ayman El-Baz 1 , Seniha E. Yuksel 1 , Hongjian Shi 1 ,  Aly A. Farag 1 ,

Ayman El-Baz1, Seniha E. Yuksel1, Hongjian Shi1, Aly A. Farag1, Mohamed A. El-Ghar2, Tarek Eldiasty2, Mohamed A. Ghoneim2

1Computer Vision and Image Processing Lab, University of Louisville2Mansoura University, Urology and Nephrology Center

2D and 3D Shape Based Segmentation Using Deformable Models

#S32

Prior Shape

Current Gray Level

Deformable Model

1 1 1( ( )) ( | ) ( | )ext s gp d k p q k

2 2 2( ( )) ( | ) ( | )ext s gp d k p q k

2 1ext ext

Assuming object:

Assuming background:

Evolve if:Signed distance map and gray level densities are estimated with our modified EM algorithm

Results & Validation

Average shape by FEM

Result at-1.9dB SNR