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O. Patrick Kreidl

Work place: University of North Florida, Jacksonville, 32224, USA

E-mail: patrick.kreidl@unf.edu

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Research Interests: Combinatorial Optimization, Distributed Computing, Network Security, Network Architecture, Application Security, Computer Networks, Computer systems and computational processes

Biography

O. Patrick Kreidl is currently an Assistant Professor of Electrical Engineering at the University of North Florida in Jacksonville, Florida. He completed his Bachelor’s degree in Electrical Engineering from George Mason University in 1994. He completed his Master’s degree and Ph.D. in Electrical Engineering and Computer Science in 1996 and 2008 respectively, both at the Massachusetts Institute of Technology. Prior to joining the University of North Florida, Dr. Kreidl was a Principal Research Engineer in the Cyber Operations and Networking Group within BAE Systems’ Technology Solutions Directorate and a Research Affiliate in MIT’s Laboratory for Information and Decision Systems. His research interests lie at the intersections of signal processing, stochastic control and optimization with application to sensor networks, network security and distributed systems. Dr. Kreidl is a member of the IEEE.

Author Articles
Generation of Undistorted Photomosaics of Cylindrical Vesicular Basalt Specimens

By Alan Harris Ratna S. Medapati O. Patrick Kreidl Nick Hudyma Travis Waldorf

DOI: https://doi.org/10.5815/ijigsp.2015.05.02, Pub. Date: 8 Apr. 2015

Photographic documentation of prepared rock core specimens may be required for scientific studies. For specimens that have surface features which vary circumferentially, it is advantageous to have a single photomosaic of the specimen surface rather than a series of surface photographs. A technique to develop a photomosaic from a series of overlapping images of prepared vesicular basalt core specimens is presented. The overlapping images of the specimen surface are subjected to an initial cropping, a geometric transformation, an intensity interpolation, a final cropping, and an image stitching algorithm. The final result is an undistorted photomosaic of the entire specimen surface. All steps except the initial cropping are implemented within MATLAB®.

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