A Novel Radial Kernel Watershed Basis Segmentation Algorithm for Color Image Segmentation
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11277-023-10831-4.pdf
Reference25 articles.
1. Abdel-Basset, M., Chang, V., & Mohamed, R. (2021). A novel equilibrium optimization algorithm for multi-thresholding image segmentation problems. In Neural computing and applications (Vol. 33, Issue 17). Springer London. https://doi.org/10.1007/s00521-020-04820-y
2. Bhandari, A. K., Kumar, I. V., & Srinivas, K. (2020). Cuttlefish algorithm-based multilevel 3-D Otsu function for color image segmentation. IEEE Transactions on Instrumentation and Measurement, 69(5), 1871–1880. https://doi.org/10.1109/TIM.2019.2922516
3. Bhandari, A. K., Singh, N., & Shubham, S. (2019). An efficient optimal multilevel image thresholding with electromagnetism-like mechanism. Multimedia Tools and Applications, 78(24), 35733–35788. https://doi.org/10.1007/s11042-019-08195-8
4. Borjigin, S., & Sahoo, P. K. (2019). Color image segmentation based on multi-level Tsallis–Havrda–Charvát entropy and 2D histogram using PSO algorithms. Pattern Recognition, 92, 107–118. https://doi.org/10.1016/j.patcog.2019.03.011
5. Channoufi, I., Bourouis, S., Bouguila, N., & Hamrouni, K.(2018). Color image segmentation with bounded generalized Gaussian mixture model and feature selection. In 4th International conference on advanced technologies for signal and image processing (pp. 1–6). https://doi.org/10.1109/ATSIP.2018.8364459
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