University of Arizona 1981 - 1988
Master of Science, Doctorates, Masters, Doctor of Philosophy
Uc San Diego 1976 - 1981
Bachelors, Bachelor of Science, Physics
Skills:
R&D Product Development Imaging Science Chemistry Product Innovation Design of Experiments Innovation Management Materials Science Digital Image Processing Digital Photography Spectroscopy Open Innovation Management Imaging Systems Microscopy Ir Data Analysis Consumer Products
Janine Anne Flood - Cincinnati OH, US Vanessa Catherine - Bruxelles, BE Irma Leticia Espinosa - Middlesex, GB Guillaume Bonnet - Bruxelles, BE Mark Steven Hayworth - Cincinnati OH, US Thomas Edward Dufresne - Morrow OH, US Yong Pan - Covington KY, US
International Classification:
G01R 33/48 G01N 23/04
US Classification:
324309, 378 62, 378 4
Abstract:
A non-destructive method of visualizing penetration of a soil and/or fabric conditioning component in a fabric using imaging techniques. The method may be used to determine qualitatively and/or quantitatively the penetration of soil and/or fabric conditioning component into the fabric. By comparing images before and after fabric treatment processes, the efficacy of a fabric treatment processes can be assessed.
Greg George Hillebrand - Wyoming OH Kukizo Miyamoto - Hyogo, JP Brian Dale Barford - West Chester OH Joseph Michael Miller - Cincinnati OH Mark Steven Hayworth - Cincinnati OH Michael Lee Hilton - Fairfield OH Gary Gordon Heaton - Loveland OH Michael Eugene Rubush - West Chester OH
Assignee:
The Procter Gamble Company - Cincinnati OH
International Classification:
G06K 900
US Classification:
382118, 382100
Abstract:
The apparatus and method of the present invention provides a process that can be implemented by a human operator and a computing device to analyze and display human skin images. The system acquires a digital image from a camera or scanner. Subsequently, the system determines which area(s) of the image to analyze using landmarks such as the corner of the eye. The determined areas are then analyzed to locate skin defects such as red spots, and the defects are visually identified on a display. A severity is calculated for the defects and the severity is compared to an average skin severity associated with a population of people. In addition, a simulation is generated and displayed showing an improvement to the defect areas.