PHILIP T SMITH, Sr.
Pharmacy at A1A, Melbourne, FL
License number
Florida 6962
Issued Date
Nov 5, 2009
Effective Date
Oct 24, 2016
Expiration Date
Dec 31, 2018
Category
Health Care
Type
Registered Pharmacy Technician
Address
Address
1098 A1A Hwy, Melbourne, FL 32937
Phone
(321) 544-9262
Personal information
See more information about PHILIP T SMITH at radaris.comName
Address
Phone
5049 N Hwy A1A APT 505, Fort Pierce, FL 34949
500 Crowne Loop APT 111, Ormond Beach, FL 32174
511 Longmeadow St, Kissimmee, FL 34747
5100 60Th St E LOT Q32, Bradenton, FL 34203
4612 W Leona St, Tampa, FL 33629
Professional information
Philip Smith, Cocoa Beach FL
Work:
Cape Canaveral Hospital
699 W Cocoa Beach Cswy, Cocoa Beach, FL 32931 Pathology And Medical Laborato
110 Longwood Ave, Rockledge, FL 32955 Childrens Hospital Med Ctr
1 Perkins Sq, Akron, OH 44308
699 W Cocoa Beach Cswy, Cocoa Beach, FL 32931 Pathology And Medical Laborato
110 Longwood Ave, Rockledge, FL 32955 Childrens Hospital Med Ctr
1 Perkins Sq, Akron, OH 44308
Civil Project Lead At Brph
Position:
Civil Project Lead at BRPH
Location:
Melbourne, Florida Area
Industry:
Civil Engineering
Work:
BRPH
- Melbourne, Florida Area since Apr 2000
-
Civil Project Lead
Education:
ITT Tech 1984 - 1986
System And Method For Adaptive Pixel Segmentation From Image Sequences
US Patent:
2008019, Aug 21, 2008
Filed:
Feb 16, 2007
Appl. No.:
11/675793
Inventors:
Philip W. SMITH - Rockledge FL, US
Richard Collier - Melbourne FL, US
Richard Collier - Melbourne FL, US
Assignee:
Harris Corporation - Melbourne FL
International Classification:
G06K 9/36, H04N 5/228
US Classification:
3482221, 382236, 348E05024
Abstract:
The image processing system includes an image processor performing adaptive pixel segmentation for a sequence of image frames collected during movement relative to a scene, with each image frame having a plurality of pixels. An image sensor collects the sequence of image frames while moving relative to the scene. The image processor may perform the adaptive pixel segmentation by generating a probability density function (PDF) for pixels based upon a plurality of past image frames from the sequence thereof, determining whether pixels in a new image frame from the sequence thereof are independently moving pixels or background pixels based upon comparing the new image frame to the at least one PDF, and updating the at least one PDF based upon the new image frame.