Implementation of some representative active contour models

1.Nonparametric statistical active contour models

(1) AMP
Wu H, Appia V, Yezzi A. Numerical conditioning problems and solutions for nonparametric iid statistical active contours[J]. IEEE transactions on pattern analysis and machine intelligence, 2012, 35(6): 1298-1311.
(2) Bhattacharyya
Michailovich O, Rathi Y, Tannenbaum A. Image segmentation using active contours driven by the Bhattacharyya gradient flow[J]. IEEE Transactions on Image Processing, 2007, 16(11): 2787-2801.
(3) INDAC
Gong M, Li H, Zhang X, et al. Nonparametric statistical active contour based on inclusion degree of fuzzy sets[J]. IEEE Transactions on Fuzzy Systems, 2015, 24(5): 1176-1192.

2.Parametric statistical active contour models (e.g. CV)

(1) CV (Since this classic work has already been implemented, it is no longer given here.)
Chan T F, Vese L A. Active contours without edges[J]. IEEE Transactions on image processing, 2001, 10(2): 266-277.
(2) LATE
Min H, Jia W, Zhao Y, et al. LATE: A level-set method based on local approximation of Taylor expansion for segmenting intensity inhomogeneous images[J]. IEEE Transactions on Image Processing, 2018, 27(10): 5016-5031.
(3) RESLS
Zhang W, Wang X, You W, et al. RESLS: Region and edge synergetic level set framework for image segmentation[J]. IEEE Transactions on Image Processing, 2019, 29: 57-71.

Hope these are helpful to you