Dr. Edward R. Dougherty
Professor
SPIE Involvement:
Track Chair | Author | Editor | Instructor
Publications (164)

SPIE Press Book | 21 April 2020

SPIE Press Book | 3 July 2018

SPIE Press Book | 30 November 2016
KEYWORDS: Mathematical modeling, Data modeling, Systems modeling, Particles, Error analysis, Statistical modeling, Statistical analysis, Signal processing, Mathematics, Complex systems

SPIE Journal Paper | 1 May 2012
JBO Vol. 17 Issue 04
KEYWORDS: Image processing, Image segmentation, Picosecond phenomena, Green fluorescent protein, Proteins, Fluorescent proteins, Video, Data processing, Data analysis, Cell mechanics

Proceedings Article | 30 August 2005
Proc. SPIE. 5916, Mathematical Methods in Pattern and Image Analysis
KEYWORDS: Statistical analysis, Detection and tracking algorithms, Data modeling, Matrices, Error analysis, Image classification, Probability theory, Performance modeling, Binary data, Fuzzy logic

Showing 5 of 164 publications
Proceedings Volume Editor (29)

SPIE Conference Volume | 31 March 2008

SPIE Conference Volume | 7 February 2007

SPIE Conference Volume | 1 March 2005

SPIE Conference Volume | 28 May 2004

Showing 5 of 29 publications
Conference Committee Involvement (40)
Real-Time Image Processing 2008
28 January 2008 | San Jose, California, United States
Image Processing: Algorithms and Systems VI
28 January 2008 | San Jose, California, United States
Image Processing: Algorithms and Systems V
29 January 2007 | San Jose, CA, United States
Real-Time Image Processing 2007
29 January 2007 | San Jose, CA, United States
Applications of Neural Networks and Machine Learning in Image Processing X
18 January 2006 | San Jose, California, United States
Showing 5 of 40 Conference Committees
Course Instructor
SC198: Fundamentals of Real Time Image Processing
This course introduces the basics of real-time image processing. It discusses efficient implementation of image processing algorithms. Standard image algorithm approaches do not yield real-time solutions. These algorithms must be rewritten to include real-time approaches connected to the hardware. The goal of this course is to show how software and hardware are used to achieve real-time image processing tasks.
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