[1] A JOSHI, M S KHAN, J KIM et al. SalCor: a hierarchical saliency-driven segmentation model with local correntropy for medical images. IEEE Access, 11, 83852-83866(2023).
[2] H X LIU, Y Y FU, S Q ZHANG et al. Active contour driven by adaptive-scale local-energy signed pressure force function based on bias correction for medical image segmentation. IET Image Processing, 16, 3929-3947(2022).
[3] M KASS, A WITKIN, D TERZOPOULOS. Snakes: active contour models. International Journal of Computer Vision, 1, 321-331(1988).
[4] V CASELLES, R KIMMEL, G SAPIRO. Geodesic active contours. International Journal of Computer Vision, 22, 61-79(1997).
[5] X Q WANG, S R LI, N A YU et al. Active contour-based colour image selective segmentation. International Journal of Modelling, Identification and Control, 25, 48(2016).
[6] C Y LIU, Z H QIAO, Q ZHANG. An active contour model with local variance force term and its efficient minimization solver for multiphase image segmentation. SIAM Journal on Imaging Sciences, 16, 144-168(2023).
[7] M SAJADI, M B TAVAKOLI, F SETOUDEH et al. A novel image segmentation utilizing FUZZY-based LBP and active contour model. The Imaging Science Journal, 70, 139-154(2022).
[8] B WANG, X B GAO, D C TAO et al. A nonlinear adaptive level set for image segmentation. IEEE Transactions on Cybernetics, 44, 418-428(2014).
[9] L ZHANG, K T WU, P LI. An improved adaptive level set method for image segmentation. International Journal of Pattern Recognition and Artificial Intelligence, 32, 1854013(2018).
[10] J Z LI, N SVEN, B RATH et al. A novel combined level set model for automatic MR image segmentation. Current Directions in Biomedical Engineering, 6, 1-4(2020).
[11] W Q CHEN, C J LIU, A BASU et al. A hybrid level set model for image segmentation. PLoS One, 16(2021).
[12] T F CHAN, L A VESE. Active contours without edges. IEEE Transactions on Image Processing, 10, 266-277(2001).
[13] H WANG, T Z HUANG, Z B XU et al. An active contour model and its algorithms with local and global Gaussian distribution fitting energies. Information Sciences, 263, 43-59(2014).
[14] G O AMIN, H MAHDI, A BAHAREH. CGFFCM: cluster-weight and group-local feature-weight learning in fuzzy C-Means clustering algorithm for color image segmentation. Applied Soft Computing, 113, 1-24(2021).
[15] E IMANI, M JAVIDI, H R POURREZA. Improvement of retinal blood vessel detection using morphological component analysis. Computer Methods and Programs in Biomedicine, 118, 263-279(2015).
[16] C M LI, C Y KAO, J C GORE et al. Minimization of region-scalable fitting energy for image segmentation. IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society, 17, 1940-1949(2008).
[17] A A MEMON, A NIAZ, S SOOMRO et al. Hybrid SPF and KD operator-based active contour model for image segmentation. IEEE Access, 8, 198368-198383(2020).
[18] L WANG, C M LI, Q S SUN et al. Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation. Computerized Medical Imaging and Graphics, 33, 520-531(2009).
[19] S SOOMRO, T A SOOMRO, K N CHOI. An active contour model based on region based fitting terms driven by p-laplace length regularization. IEEE Access, 6, 58272-58283(2018).
[20] A NIAZ, K RANA, A JOSHI et al. Hybrid active contour based on local and global statistics parameterized by weight coefficients for inhomogeneous image segmentation. IEEE Access, 8, 57348-57362(2020).
[21] B HAN, Y Q WU, A BASU. An adaptive active contour model driven by weighted local and global image fitting constraints for image segmentation. Signal, Image and Video Processing, 14, 1-8(2020).
[22] G R WENG, B DONG, Y LEI. A level set method based on for image segmentation. Expert Systems with Applications, 185, 1-13(2021).
[23] C M LI, R HUANG, Z H DING et al. A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI. IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society, 20, 2007-2016(2011).
[24] S SAMAN, S J NARAYANAN. Active contour model driven by optimized energy functionals for MR brain tumor segmentation with intensity inhomogeneity correction. Multimedia Tools and Applications, 80, 21925-21954(2021).
[25] C M LI, C Y KAO, J C GORE et al. Implicit Active Contours Driven by Local Binary Fitting Energy, 1-7(2007).
[26] K H ZHANG, H H SONG, L ZHANG. Active contours driven by local image fitting energy. Pattern Recognition, 43, 1199-1206(2010).
[27] M F TALU. ORACM: online region-based active contour model. Expert Systems with Applications, 40, 6233-6240(2013).
[28] M Q GAO, H X CHEN, S H ZHENG et al. A Factorization Based Active Contour Model for Texture Segmentation, 4309-4313(2016).
[29] J X FANG, H X LIU, J LIU et al. Fuzzy region-based active contour driven by global and local fitting energy for image segmentation. Applied Soft Computing, 100, 106982(2021).
[30] J X FANG, H X LIU, L T ZHANG et al. Region-edge-based active contours driven by hybrid and local fuzzy region-based energy for image segmentation. Information Sciences, 546, 397-419(2021).
[31] H G XIAO, B L ZHANG, R H LIU et al. Accurate image segmentation based on adaptive distance regularization level set method. International Journal of Wavelets, Multiresolution and Information Processing, 1, 17(2022).
[32] S WALI, C M LI, M IMRAN et al. Level-set evolution for medical image segmentation with alternating direction method of multipliers. Signal Processing, 211, 109105(2023).
[33] M J WAN, Q Y HUANG, Y K XU et al. Global and local multi-feature fusion-based active contour model for infrared image segmentation. Displays, 78, 102452(2023).
[34] K H ZHANG, L ZHANG, K M LAM et al. A level set approach to image segmentation with intensity inhomogeneity. IEEE Transactions on Cybernetics, 46, 546-557(2016).
[35] K Y DING, L F XIAO, G R WENG. Active contours driven by local pre-fitting energy for fast image segmentation. Pattern Recognition Letters, 104, 29-36(2018).
[36] D D MA, Q M LIAO, Z Q CHEN et al. Adaptive local-fitting-based active contour model for medical image segmentation. Signal Processing: Image Communication, 76, 201-213(2019).
[37] P ARBELÁEZ, M MAIRE, C FOWLKES et al. Contour detection and hierarchical image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33, 898-916(2011).
[38] J P SHI, Q YAN, L XU et al. Hierarchical image saliency detection on extended CSSD. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38, 717-729(2016).