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William Higgins
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William Higgins

  • Professor Department of Electrical Engineering
209F Electrical Engineering West

University Park, pa 16802-6106
Email: weh2@psu.edu

Websites:

Education:

  1. Ph.D., University of Illinois

Biography:

Research Interests
Image Processing, Computer Vision, Scientific Visualization, Virtual Endoscopy, Applications to 3D Medical Imaging, Radiology, 3D Cardiopulmonary Imaging
 
Biography
William Higgins received his B.S. from MIT and his M.S. and Ph.D. degrees from the University of Illinois (all degrees in electrical engineering). He was a principal research scientist at the Honeywell Systems and Research Center, Minneapolis, MN from 1984-1987. From 1987-1989, he was a principal research fellow at the Mayo Clinic, Rochester, MN. Since 1989, he has been a professor in the Electrical Engineering (EE) Department of Penn State. He is also affiliated with the Computer Science and Engineering Department (CSE) and the Bioengineering program.

Dr. Higgins Multidimensional Image Processing Laboratory efforts have been funded by the National Institutes of Health, the Whitaker Foundation, and the National Science Foundation. The laboratory has developed several interactive software systems for 3D image processing and visualization. His group has also done much fundamental work in the areas of virtual endoscopy, 3D image segmentation, texture analysis, mathematical morphology, edge detection, dynamic volume rendering, and 3D image interpolation. He is a fellow of the IEEE.
 
Selected Publications

  1. Helferty, J. P., A. J. Sherbondy, A. P. Kiraly, W. E. Higgins. April 2007. Computer-based System for the Virtual-Endoscopic Guidance of Bronchoscopy. Computer Vision and Image Understanding. 17 pages.

  2. Kiraly, A.P., J.P. Helferty, E.A. Hoffman, G. McLennan, W.E. Higgins. November 2004. 3D Path Planning for Virtual Bronchoscopy. IEEE Transactions on Medical Imaging 23(11):1365-1379.
  3. Wan, S-Y., W. E. Higgins. September 2003. Symmetric Region Growing. IEEE Transactions on Image Processing 12(9):1007-1015.

  4. Hansen, M. W., W. E. Higgins. September 1997. Relaxation Methods for Supervised Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(9):949-962.

  5. Dunn, D. F., W. Higgins. July 1995. Optimal Gabor Filters for Texture Segmentation. IEEE Transactions on Image Processing 4(7):947-964.