On active contour models and balloons
CVGIP: Image Understanding
Generalized gradient vector flow external forces for active contours
Signal Processing - Special issue on deformable models and techniques for image and signal processing
Gradient vector flow deformable models
Handbook of medical imaging
Medical image segmentation using topologically adaptable surfaces
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
Gradient Vector Flow: A New External Force for Snakes
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Topologically adaptable deformable models for medical image analysis
Topologically adaptable deformable models for medical image analysis
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Self-affine mapping system and its application to object contour extraction
IEEE Transactions on Image Processing
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In this work various methods of parametric elastic models are compared, namely the classical snake, the gradient vector field snake GVF snake and the topology-adaptive snake t-snake, as well as the method of self-affine mapping system as an alternative to elastic models. We also give a brief overview of the methods used. The self-affine mapping system is implemented using an adapting scheme and minimum distance as optimization criterion, which is more suitable for weak edges detection. All methods are applied to glaucomatic retinal images with the purpose of segmenting the optical disk. The methods are compared in terms of segmentation accuracy and speed, as these are derived from cross-correlation coefficients between real and algorithm extracted contours and segmentation time, respectively. As a result, the method of self-affine mapping system presents adequate segmentation time and segmentation accuracy, and significant independence from initialization.