COURSE DESCRIPTION
Department and Course CS 473
Number
Course
Title
Computer Vision & Image
Processing
Course
Coordinator
Total Credits
Contact Hours
Sloan
3
37.5 hours
Current Catalog Description
Digital image processing and analysis, edge and region operations, morphological
filters, spectral techniques, object recognition and description.
Textbook
Digital Image Processing: An Algorithmic Introduction Using Java, by Burger and
Burge, Springer.
References
None
Course Outcomes
Introduce students to digital image analysis and computer vision techniques.
Relationship between Course Outcomes and Program Outcomes: A, B, C
Prerequisites by Topic
Algorithms and Data Structures
Required/Elective: Elective
Major Topics Covered in the Course
Digital Images, Histograms, Point Operations, Filters, Edges and Contours, Corner
Detection, Detecting Simple Curves, Morphological Filters, Regions in Binary Images,
Color Images, Introduction to Spectral Techniques, The Discrete Fourier Transform in
2D, The Discrete Cosine Transform (DCT), Geometric Operations, Comparing Images.
Laboratory projects (specify number of weeks on each)
5 programming assignments - 1-2 weeks each
1 major project - 5-10 weeks
Criterion 3 Student Outcomes
Outcome
a
An ability to apply knowledge of computing and mathematics appropriate to the discipline
X
b
X
d
An ability to analyze a problem, and identify and define the computing requirements appropriate
to its solution
An ability to design, implement, and evaluate a computer-based system, process, component, or
program to meet desired needs
An ability to function effectively on teams to accomplish a common goal
e
An understanding of professional, ethical, legal, security and social issues and responsibilities
f
An ability to communicate effectively with a range of audiences
g
h
An ability to analyze the local and global impact of computing on individuals, organizations, and
society
Recognition of the need for and an ability to engage in continuing professional development
i
An ability to use current techniques, skills, and tools necessary for computing practice
j
An ability to apply mathematical foundations, algorithmic principles, and computer science
theory in the modeling and design of computer-based systems in a way that demonstrates
comprehension of the tradeoffs involved in design choices.
An ability to apply design and development principles in the construction of software systems of
varying complexity.
c
k
Oral and Written Communications
Social and Ethical Issues
X