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+ CISTO News Spring 2006

CISTO Updates

 

Computer Scientist Receives 2006 Kerley Award from Office of Technology Transfer

Tilton with Kerley familyImage above: 2006 Kerley Award winner James Tilton (center) pictured with members of the Kerley family at the GSFC Office of Technology Transfer’s 14th Annual New Technology Reporting Program  (Photo credit:  Debora McCallum/GSFC).

On April 4, GSFC’s Deputy Director Michael Ryschkewitsch presented James Tilton, a computer scientist of CISTO’s Information Science and Technology Research group, with the GSFC Office of Technology Transfer’s James Kerley Award.  Presented annually, the award is named after the late James Kerley, a GSFC researcher who was a prolific inventor and a champion of technology transfer. Tilton received the 2006 Kerley Award for his efforts to find new uses for a software program he originally developed for remote sensing applications.

Tilton’s innovation, the Hierarchical Segmentation (HSEG) software, provides a new approach to image analysis. Rather than analyzing the image on a pixel-by-pixel basis, this software organizes the image pixels into regions.

“Looking at the regions instead of the individual pixels allows the user to isolate specific features that otherwise are impossible to distinguish,” explained Ryschkewitsch. For example, in a satellite image, the software can indicate different types of vegetation, distinguishing a golf course from a park from the woods.”

The HSEG software, and its follow-on known as “RHSEG” (Recursive Hierarchical Segmentation), have a broad spectrum of applications and have been incorporated into a commercial medical imaging product (see “CISTO Engineer Receives Patent and IS&T Award,” CISTO News, Summer 2005). The software is now being used to assist in the diagnosis and management of diseases that are imaged using digital x-rays, mammograms, ultrasounds, MRI images, and CAT scans. Other non-medical applications for HSEG/RHSEG include agricultural crop monitoring, identifying population densities and areas with greatest expansion, facial recognition, and data mining.

http://www.nasa.gov/centers/goddard/pdf/147429main_GV2_7_Web.pdf
http://techtransfer.gsfc.nasa.gov/SS-rhseg.html

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Last Updated: Thursday, 06-Dec-2007 10:41:56 EST