Fast Image Segmentation with Multilevel Threshold Based on Tsallis Relative Entropy and Wind-Driven Optimization Algorithm

Fenhong LI; Jing LU; Zhiguang ZHANG

[6] TIAN Y, LI J, YU S, et al. Learning complementary saliency priors for foreground object segmentation in complex scenes[J]. International Journal of Computer Vision, 2015, 111(2): 153-170.

[7] Dirami A, Hammouche K, Diaf M, et al. Fast multilevel thresholding for image segmentation through a multiphase level set method[J]. Signal Processing, 2013, 93(1): 139-153.

[8] ZHANG X, XU C, LI M, et al. Sparse and low-rank coupling image segmentation model via nonconvex regularization[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2015, 29(2):1555004.

[9] Sarkar S, Das S, Chaudhuri S S. A multilevel color image thresholding scheme based on minimum cross entropy and differential evolution[J].Pattern Recognition Letters, 2015, 54: 27-35.

[10] ZHANG J, LI H, TANG Z, et al. An improved quantum-inspired genetic algorithm for image multilevel thresholding segmentation[J/OL].Mathematical Problems in Engineering, 2014: https:// www.hindawi.com/ journals/mpe/2014/295402/fig1/.

[11] LI Y, JIAO L, SHANG R, et al. Dynamic-context cooperative quantum-behaved particle swarm optimization based on multilevel thresholding applied to medical image segmentation[J]. Information Sciences, 2015, 294: 408-422.

[12] Ghamisi P, Benediktsson J A. Feature selection based on hybridization of genetic algorithm and particle swarm optimization[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(2): 309-313.

[14] Bhandari A K, Singh V K, Kumar A, et al. Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur’s entropy[J]. Expert Systems with Applications, 2014, 41(7): 3538-3560.