Sensing, sampling, filtering, transducing, and transmission of information to transform physical data to the digital domain. Subsequent processing of image and digital data, restoration, analysis and classification to problems in inspection, authentication, color science, biometrics, and signal/image characterization.
Prerequisite
ECE 303 or STAT 303 or STAT 315.
Important Information
Military personnel admitted to a College of Engineering online degree program may be eligible for a 15% tuition discount. Tuition discounts can only be given if you provide the appropriate discount code at the time of registration. Call (877) 491-4336 or email csu_online_registration@mail.colostate.edu to learn more. (Discounts are not applicable to Denver sections.)
This class is available live via the Internet Wednesdays from 5:15 to 8:00 p.m. Mountain Time. Log into your Canvas account to access the course; directions will be posted.
Textbooks and Materials
Section 801
Optional
- Image Processing: The Fundamentals (2010)
Maria Petrou and Costas Petrou
ISBN: 978-0470745861 - Measurement Systems: Application and Design (2003)
Ernest O. Doebelin
ISBN: 007243886X
Textbooks and materials can be purchased at the CSU Bookstore unless otherwise indicated.
Instructors
Steven Simske
9704911908
|
steve.simske@colostate.edu
Dr. Steven Simske joined Colorado State University in 2018 as a Professor in Systems, Mechanical, and Biomedical Engineering. Before then, he was an HP Fellow and a Research Director in HP Labs. He led HP in research and development in algorithms, multi-media, labels, brand protection, security and secure printing, imaging, 3D printing, analytics and life sciences. He is a long-time member of the World Economic Forum Global Agenda Councils (2010-2016), leads the Steering Committee for the ACM DocEng Symposium, is former President of the Imaging Science and Technology professional organization, and is an IEEE, NAI, IS&T, and CSU FIIE Fellow. Dr. Simske has nearly 250 granted US patents and more than 500 professional publications, including books on machine learning, algorithmics, analytics, and text analytics. He is an Honorary Professor in Computer Science at the University of Nottingham, UK. Dr. Simske completed a BS (Marquette University, 1986) and Masters (Rensselaer Polytechnic University, 1987) in Biomedical Engineering; a PhD (University of Colorado, 1990) in Electrical Engineering, and a PostDoc (University of Colorado, 1993) in Aerospace Engineering. Dr. Simske was a payload specialist on a dozen Space Shuttle missions, and has designed devices ranging from exercise-responsive pacemakers to impedance tomography systems. Dr. Simske was a CSU Alumni Association Best Teacher Awardee in 2022.
Learn more at: http://www.engr.colostate.edu/se/steve-simske/
