Four-Color Theorem and Level Set Methods for Watershed Segmentation-Reference-Cited by-同舟云学术

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Four-Color Theorem and Level Set Methods for Watershed Segmentation

Published:2008-12-17 Issue:3 Volume:82 Page:264-283
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vis

Author:

Hodneland Erlend,Tai Xue-Cheng,Gerdes Hans-Hermann

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s11263-008-0199-4.pdf

Reference64 articles.

1. Adiga, P. S. U. (2003). Integrated approach for segmentation of 3-D confocal images of a tissue specimen. Microscopy Research and Technique, 54(4), 260–270.

2. Adiga, P. S. U., & Chaudhuri, B. B. (1999). Efficient cell segmentation tool for confocal microscopy tissue images and quantitative evaluation of fish signals. Microscopy Research and Technique, 44(1), 49–68.

3. Adiga, U., Malladi, R., Fernandez-Gonzalez, R., & Ortiz de Solorzano, C. (2006). High-throughput analysis of multispectral images of breast cancer tissue. IEEE Transactions on Image Processing, 15(8), 2259–2268.

4. Appel, K. I., & Haken, W. (1977). Every planar map is four colorable. Illinois Journal of Mathematics, 21, 429–567.

5. Arbeléz, P. A., & Cohen, L. D. (2004). Energy partitions and image segmentation. Journal of Mathematical Imaging and Vision, 20(1–2), 43–57.

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