A Selective Segmentation Model Using Dual-Level Set Functions and Local Spatial Distance

• Published in: IEEE access Vol. 10; pp. 22344 - 22358
• Main Authors: Rahman, Afzal, Ali, Haider, Badshah, Noor, Rada, Lavdie, Khan, Ayaz Ali, Hussain, Hameed, Zakarya, Muhammad, Ahmed, Aftab, Rahman, Izaz Ur, Raza, Mushtaq, Haleem, Muhammad
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Active contours; Background noise; Computational modeling; Edge detection; Euler-Lagrange equation; Homogeneity; Image edge detection; Image segmentation; Level set; level set function; local similarity factor; local spatial distance; Mathematical models; Medical imaging; Motion segmentation; Robustness; selective segmentation

Selective image segmentation is one of the most significant subjects in medical imaging and real-world applications. We present a robust selective segmentation model based on local spatial distance utilizing a dual-level set variational formulation in this study. Our concept tries to partition all o...