BOWIE STATE UNIVERSITY
Department of Computer Science
Course Syllabus

COURSE NO: COSC 719(3 cr.), TITLE: Image Processing I SEMESTER: Fall 2011
ROOM: CSB314, TIME: Tues 4:55 PM - 7:25 PM

Instructor: Manohar Mareboyana

Office: CSB 221

Office Hrs: Tuesday2:30 p.m. - 4:30 p.m.

Telephone: (301) 860-3971

email:

Catalog Description:This course is an introduction to Computer Vision and Image Processing fundamentals, human visual system, image resolution, binary images, gray scale images, multispectral images, digital image formats, preprocessing, image algebra, spatial filters, image enhancement, edge detection, segmentation, feature extraction etc.Additional topics include discrete transforms and image compression techniques.

POLICIES REGARDING ATTENDANCE, GRADING, HOMEWORK AND ACADEMIC INTEGRITY

Evaluation:Following is the Evaluation system for the Final Grade.Each homework will be graded.Students are responsible for completing them as scheduled.

Homework/Assignments: 10%

Projects: 20%

Quizzes: 20%

Mid-Term Exam: 20%

Final Exam: 30%

Projects, Mid-term and Final exams are mandatory.Mid-term will not include the grades of projects.

Grading: Academic dishonesty will result in grade F.The grade levels used in evaluating students’ work are:

90 - 100A

80 - 89B

70 - 79C

Final grades will be computed based upon credits earned for all the five components mentioned above.

Attendance: Regular attendance in the class is mandatory. Students will be responsible for any loss of information, assignments, and projects due to absence from class. There will be no make-up for any missed classes, projects, assignments, and exams.

Help: During the office hours or by appointment. Email can be used for help but I check emails prior to schedule class meeting.Please use the homework email to email me.The reply may take more than 24 hours. While sending email, always mention your name and a proper subject that reflects the problem in brief. Always use teacher’s email address given in this syllabus. The instructor will check emails from students only at this address. Also, due to virus problems, student should use only that address that is given to the teacher in Student Information Sheet by the student. If you send from some other address, it might go to junk area and you may not get a response.

Academic Dishonesty: Academic dishonesty includes plagiarism, cheating, and other illegal or unethical behaviors in doing the work of the course. Plagiarism is the act of representing another's ideas, words or information as one's own.If you receive assistance on an assignment from someone else, you must avoid plagiarism by giving proper credit for this assistance.Include in your assignment a comment naming the person who assisted you and stating what the assistance was.Students who are guilty of academic dishonesty are subject to severe penalties ranging from a reduction in points (and possible failure) for the assignment/project, to failing the course, or in extreme cases, dismissal from the University. Do not copy other student's projects, codes, and design. A group of students working together on a project must change their forms and codes to differentiate from others.

Inclement weather conditions: In case of inclement weather conditions, call the following number regarding cancellations: (301) 860 - 4000.

Important Numbers:

Dept of Comp Sc (Secretary):(301)860-3961

Dept of Comp Sc (Fax):(301)860-3979

Blackboard Information:

Website: http://classroom.bowiestate.edu

Help Desk: (301) 860-4357

It will be the student's responsibility to logon and be comfortable with the use of Blackboard established for them. Call the help desk if there is any problem in accessing the Blackboard. Also, be comfortable with zipping the files as students are required to submit all the zipped Project files on Blackboard using digital drop box.

ADA statement:Students with disabilities who wish to receive ADA accommodations should report to the Office of Special Populations, CLT Building Room 311 (telephone 301-860-3292)

The Important Dates

Late Registration: TBA

Last day to add a Class: TBA

Last Day to drop without a W: TBA

Convocation: TBA

Last Day to change from Credit to Audit TBA

Last day of Classes: TBA

Final Exams: TBA

Required text:

Digital Image Processing, Rafael C. Gonzalez and Richard, E. Woods, Third Edition, Prentice Hall,

ISBN: 0-13-168728-x

Teaching Modes:

The primary teaching mode will be lecture-discussion, problem solving.This will be supplemented by out of class conferences, discussions.

Course Objectives:Upon successful completion of the course, the students will be able to:

1. demonstrate the image concept as a mathematical function

2.demonstrate use of various operators on image functions

3.demonstrate and implement some common image enhancement and feature detection methods.

4.demonstrate knowledge of color images, multi-spectral image formats, storage and processing.

5. develop a project on image processing project using OpenCV, Matlab

REQUIREMENTS:Students are expected to:

1.Attend all classes, participate in class discussion, and otherwise be prepared.

2.Read all assigned selections before coming to class on the day those selections are to be discussed.

3.Submit all assignments when due(1/2 letter grade off for each day late without documented excuse; papers more than one week late will not be accepted.)

4.Implement projects using the software provided.

COURSE OUTLINE & SCHEDULE: (schedule subject to change with due notice) There will be daily homework assignments administered during class.

Week / Topic
1 / Theoretical foundations of image representation
2 / Mathematical operators applicable for digital images
3 / Image digitization, sampling and quantization
4 / Image smoothing and noise filtering techniques
5 / Image Enhancement and contrast improvement
6 / Image segmentation and feature detection
7 / Mid-term exam
8 / Image transforms: Fourier transform, Haar Transform and Wavelet Transforms
9 / Introduction to Matlab, openCV and development of simple image processing projects
10 / Color images and multi-spectral images
11 / Image Compression techniques and standard image formats, Compression ratio, Signal to noise ration
12 / JPEG, Wavelet compression techniques
13 / Vector Quantization and its variations
14 / Review for the final Exam
15 / Final Exam

Bibliography:

  1. Computer Imaging: Digital Image Analysis and Processing by Scott E Umbaugh, CRC Press, 2005, ISBN: 0849329191
  2. Kenneth R. Castleman,Digital Image Processing, Prentice Hall 1979.
  3. A. K. Jain,Fundamentals of Digital Image Processing, Prentice Hall1,1989.
  4. J. D. Gibson, T.Berger, T. Lookabaugh, D.Lindbergh and R. L. Baker,Digital Compression for Multimedia principles and Standards, Morgan Kaufmann,1998.
  5. Gonzalez, Woods, and Eddins, Digital Image Processing Using MATLAB , Prentice Hall, 2004.
  6. Gregory A. Baxes, Digital Image Processing: Principles and Applications, Wiley, 1994.
  7. Michael Seul, Lawrence O'Gorman, Michael J. Sammon, Practical Algorithms for Image Analysis: Descriptions, Examples, and Code, Cambridge University Press, 2000.
  8. IEEE Transactions on Image Processing (Periodicals from IEEE press)