General Theory of Segmentation

Information and documents related to

General Theory of Segmentation Project

of Krzysztof Chris Ciesielski; and Jayaram K. Udupa

Key papers related to the project

K.C. Ciesielski, J.K. Udupa, P.K. Saha, and Y. Zhuge, Iterative Relative Fuzzy Connectedness for Multiple Objects with Multiple Seeds, Computer Vision and Image Understanding 107(3), (2007), 160-182.
K.C. Ciesielski, J.K. Udupa, and Y. Zhuge, Affinity functions in fuzzy connectedness based image segmentation, MIPG Technical Report #334.
K.C. Ciesielski and J.K. Udupa, A general theory of image segmentation and its practical applications, MIPG Technical Report #335.
K.C. Ciesielski and J.K. Udupa, A general theory of image segmentation: level set segmentation in the fuzzy connectedness framework Medical Imaging 2007: Image Processing, SPIE Proceedings 6512, 2007.
K.C. Ciesielski, J.K. Udupa, and Y. Zhuge, Remarks on strongest fuzzy connectedness segmentations, MIPG Technical Report #336.
K.C. Ciesielski, J.K. Udupa, and G. Grevera, Linear time distance transform algorithm, MIPG Technical Report #337.
K.C. Ciesielski and J.K. Udupa, A general theory of image segmentation II: multiregion competition in different frameworks, MIPG Technical Report #338.
J.K. Udupa and S. Samarasekera, Fuzzy connectedness and object definition: Theory, algorithms, and applications in image segmentation, Graphical Models and Image Processing 58:246-261, 1996.
J.K. Udupa, P.K. Saha, and R. Lotufo, Relative fuzzy connectedness and object definition: Theory, algorithms, and applications in image segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence 24, 1485-1500, 2002.
J.K. Udupa and P.K. Saha, Fuzzy connectedness in image segmentation, Proceedings of the IEEE 91(10),1649-1669, 2003 (invited).
J.K. Udupa, V.R. LeBlanc, Y. Zhuge, C. Imielinska, H. Schmidt, L. Currie, B.E. Hirsch, and J. Woodburn, A framework for evaluating image segmentation algorithms, Computerized Medical Imaging and Graphics 30(2):75-87, 2006.

Software

3DVIEWNIX: MIPG open source software system for the visualization and analysis of multidimensional images.

K.C. Ciesielski's imaging presentations

Computer approximations in Polish spaces, Drexel University, Philadelphia, PA, November 24, 2003.
Image Segmentation via Fuzzy Methods, Neuroimaging Seminar at Center of Advanced Imaging, West Virginia University, March 2004.
Iterative Relative Fuzzy Connectedness for Multiple Objects, Department of Radiology, MIPG, University of Pennsylvania, October 2004.
Affinity Based Image Segmentation Theory, Department of Radiology, MIPG, University of Pennsylvania, February 28, 2005.
Continuous Model for FC Segmentation and Its Relation to Other Segmentation Models, Department of Radiology, MIPG, University of Pennsylvania, March 27, 2006.
Finding Objects in the Images; New Segmentation Algorithms, The First Meeting of the Center for Vision Enhancement Technology, Morgantown, West Virginia, May 2006.
Segmentation of digital images: continuous models and related digital algorithms, The Summer Symposium in Real Analysis XXX, Asheville, NC, June, 2006.
On some imaging fundamentals, or how to find level set image delineation without curve propagation, Department of Radiology, MIPG, University of Pennsylvania, October 16, 2006.
A general theory of image segmentation: level set segmentation in the fuzzy connectedness framework, Medical Imaging Conference, SPIE Medical Imaging, San Diego, February 2007.
Fundamental concepts in image segmentation and how they are combined to form different algorithms, Department of Radiology, MIPG, University of Pennsylvania, April 16, 2007.
Continuous and Discrete Segmentation models: Is the Relationship Established According to the Scientific Method Standards?, Department of Radiology, MIPG, University of Pennsylvania, November 5, 2007.
Connecting Continuous Segmentation Models With Their Discretization -- A Unifying Approach, Department of Radiology, MIPG, University of Pennsylvania, May 19, 2008.

MIPG Seminar Series