A fast algorithm for active contours and curvature estimation
CVGIP: Image Understanding
Active vision
Active shape models—their training and application
Computer Vision and Image Understanding
An unbiased active contour algorithm for object tracking
Pattern Recognition Letters
Generalized gradient vector flow external forces for active contours
Signal Processing - Special issue on deformable models and techniques for image and signal processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
From Images to Surfaces: A Computational Study of the Human Early Visual System
From Images to Surfaces: A Computational Study of the Human Early Visual System
Gradient Vector Flow: A New External Force for Snakes
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
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This paper proposes an enhanced snake algorithm using the proximal edge search method. The proposed algorithm adds a new energy term called "proximal edge search" to the existing greedy algorithm without any passive adjustment of weight. The new energy term is represented by the distance between the snake point and the edge when there is a proximal edge. This modified algorithm could improve the accuracy by acquiring the detailed contour of complex objects and actively resolve the passive determination of weight. The validity of the proposed method was proven through experiments.