Adaptive level set image segmentation using the Mumford and Shah functional

Optical Engineering

Volumn 41, Issue 12, 2002, Pages 3002-3003

  Liu, Fei ^a   Luo, Yupin ^a   Hu, Dongcheng ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Adaptive image segmentation; Gain estimation; Level set method; Mumford Shah functional

Indexed keywords

ADAPTIVE ALGORITHMS; ADAPTIVE OPTICS; PARTIAL DIFFERENTIAL EQUATIONS; VARIATIONAL TECHNIQUES;

LEVEL SET METHODS;

IMAGE SEGMENTATION;

EID: 0036986276     PISSN: 00913286     EISSN: None     Source Type: Journal    
DOI: 10.1117/1.1519542     Document Type: Article

References (6)

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2. L. Ambrosio and V. M. Tprtorelli, "Approximation of functionals depending on jumps by elliptic functionals via Γ-convergence," Commun. Pure Appl. Math. 43(8), 999-1036 (Dec. 1990).
3. T. F. Chan and L. A. Vese, "Active contours without edges," IEEE Trans. Image Process. 10(2), 266-277 (Feb. 2001).
4. T. F. Chan and L. A. Vese, "A level set algorithm for minimizing the Mumford-Shah functional in image processing," in Proc. 1st IEEE Workshop on Variational and Level Set Methods in Computer Vision, pp. 161-168, IEEE, Piscataway, NJ (2001).
5. A. Tsai, A. Yezzi, and A. S. Willsky, "Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification," IEEE Trans. Image Process. 10(8), 1169-1186 (Aug. 2001).
6. S. Osher and J. A. Sethian, "Fronts propagating with curvature dependent speed: algorithms based on Hamilton-Jacobi formulations." J. Comput. Phys. 79, 12-49 (1988).