CALL FOR PAPERS
Special Issue of Computer Vision and Image Understanding on
Analysis of Volumetric Images
Papers are solicited on topics related to analysis of volumetric
images. Volumetric images are images represented by three- or higher-
dimensional arrays. These are generated by imaging devices such as medical
scanners or simulation procedures. This special issue is devoted to methods
that analyze such images. Emphasis will be on techniques that analyze
volumetric images as a whole rather than slice by slice. General algebraic,
geometric, statistical, topological and structural techniques independent
of application are of interest, although innovative techniques that use
knowledge about images in a particular domain to analyze images in that
domain will also be considered.
Topics:
0. Image Representation
1. Edge Detection
2. Image Segmentation
3. Feature Selection
4. Image Matching
5. Object Recognition
6. Texture Analysis
7. Elastic and other Models
8. Motion Analysis
9. Invariance
10. Evaluation of Image Segmentation Techniques
11. Surveys
Important Dates:
Paper Submission: December 1, 1998
Notification of Initial Acceptance: May 15, 1999
Deadline for Receiving Revised Papers: August 1, 1999
Notification of Final Acceptance: October 1, 1999
Publication Date: December 1999
Paper Submission:
Send five copies of your paper to one of the guest editors:
Ardeshir Goshtasby, PhD
303 Russ Engineering Center
Department of Computer Science and Engineering
Wright State University
Dayton, OH 45435
Milan Sonka, PhD
Department of Electrical and Computer Engineering
2104 EB
The University of Iowa
Iowa City, IA 52242
Jayaram Udupa, PhD
Medical Image Processing Group
Department of Radiology
University of Pennsylvania Medical Center
423 Guardian Drive
Blockley Hall, 4th Floor
Philadelphia, PA 19104-6021
For further information, please contact:
Ardeshir Goshtasby (agoshtas@cs.wright.edu)
Milan Sonka (milan-sonka@uiowa.edu)
Jayaram Udupa (jay@mipg.upenn.edu)
For manuscript style, please refer to Information for Authors in an
issue of Computer Vision and Image Understanding.