Title :
Medical Endoscopic Image Segmentation with Multi-resolution Deformation
Author :
Yoon, Sung Won ; Shin, Hang Sik ; Min, Se Dong ; Lee, Myoungho
Author_Institution :
Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul
Abstract :
Image segmentation is an essential technique in image analysis. In spite of issues in contour initialization, boundary concavities and high-level computation, active contour models, also known as snake, are a popular and successful method for segmentation among researchers. Segmentation process in snakes consists of calculation of energy and deformation of contour. In this paper, we present a new deformation method for active contour model, multi-resolution deformation algorithm ensuring powerful time reduction in convergence of the contour to target boundary.
Keywords :
endoscopes; image resolution; image segmentation; medical image processing; active contour models; boundary concavity; contour initialization; high-level computation; image analysis; medical endoscopic image segmentation; multiresolution deformation; Active contours; Biomedical imaging; Convergence; Deformable models; Equations; Finite difference methods; Image analysis; Image segmentation; Low pass filters; Wavelet analysis; active contour model; multi-resolution; segmentation; snake; wavelet;
Conference_Titel :
e-Health Networking, Application and Services, 2007 9th International Conference on
Conference_Location :
Taipei
Print_ISBN :
1-4244-0942-X
DOI :
10.1109/HEALTH.2007.381643
