A colour image segmentation method and its application to medical images-Reference-Cited by-同舟云学术

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A colour image segmentation method and its application to medical images

Published:2023-11-28 Issue: Volume: Page:
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Halim Abdul,Kumar B. V. Rathish,Niranjan Ajay,Nigam Aditya,Schneider Walter,Ahuja Chirag K.,Pathak Sudhir K.

Funder

Ministry of Education, India

Science and Engineering Research Board

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s11760-023-02817-3.pdf

Reference25 articles.

1. Mumford, D., Shah, J.: Optimal approximation by piecewise smooth functions and associated variational problems. Commun. Pure Appl. Math. 42, 577–685 (1989)

2. Bar, L., Chan, T.F., Chung, G., Jung, M., Kiryati, N., Mohieddine, R., Sochen, N., Vese, L.A.: Mumford and Shah model and its applications to image segmentation and image restoration. Handbook of Mathematical Methods in Imaging, pp. 1539–1598. Springer, Berlin (2015)

3. Storath, M., Weinmann, A.: Fast partitioning of vector-valued images. SIAM J. Imaging Sci. 7(3), 1826–1852 (2014)

4. Cai, X., Chan, R., Nikolova, M., Zeng, T.: A three-stage approach for segmenting degraded color images: smoothing, lifting and thresholding (SLaT). J. Sci. Comput. (2017). https://doi.org/10.1007/s10915-017-0402-2

5. Burger, M., He, L., Schönlieb, C.: Cahn–Hilliard inpainting and a generalization for gray value images. SIAM J. Imaging Sci. 2(4), 1129–1167 (2009)

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