Bioen/CP SC 6640: Introduction to Image Processing
From BioenWiki
- Instructor: Sarang C. Joshi , 2254 Merrill Eng. Bldg., Tel: 801-587-7961 e-mail:sjoshi@sci.utah.edu
- Office Hours: Wednesday 1:00-2:30.
- Lecture: Tuesday, Thrusday 10:45 AM-12:05 PM , EMCB 120
- TA: Josh Stratton, 3115 Merrill Eng. Bldg. e-mail:strattonbrazil@gmail.com
- Office Hours: Tuesday, Thursday 9:00 AM-10:30 AM (or by appointment)
Course Description
This is an introductory course in processing of grey-scale images. The course will cover both mathematical fundamentals and implementation details. Topics include sampling theory, transforms, and filtering. The course also covers basic image processing problems including enhancement, reconstruction, segmentation, feature detection and object recognition. Although the topic coverd in the course are of broad application the focus of this semester will be on the processing of two dimensional and 3 dimensional biological and medical Images.
- Primary textbook of the course: Digital Image Processing, 2nd Edition by Gonzalez and Woods
- Special emphasis will be placed on collaborative learning and practical algorithm implementation in MATLAB.
- Students are expected to participate using the Wikipedia model in developing and maintaining the class wiki.
Course Objectives
- To introduces students to basic principles of processing digital signals and how those principles apply to images.
- Give students the mathematical fundamentals of digital image processing algorithms.
- Provide students with implementation details of common image processing algorithms.
- Give experience to students to work collaboratively in teams on larger projects.
Student Learning Outcomes
- Learn the theoretical foundations of modern image processing.
- Apply theory to practical image processing problems.
- Provide students with rudimentary overview of unsolved problems.
Class Participation and Assignment
As one of the emphasis of the class is collaborative learning as an homework assignment each student will be responsible to build a Wiki page for the material covered during the assigned week. You will graded on the overall quality and thoroughness of the page developed at the end of following week. It is expected that every one in the class contributes to and edits all of the pages. A percentage of your grade (See Grading) will be determined by your participation in editing and contributing to pages you are not responsible for.
6640: Course Schedule
Here you will find an up-to-date version of the course schedule. Each week one of the students will be responsible for creating and editing the pages associated with the concepts discussed in the class.
Grading
A weighted average will be calculated based on your Homework Assignments (30%), Mid Term Exam (20%), Final Class Project (30%), developing a wiki page for the assigned section (10%) and class participation (10%). Grades will be assigned on a curve.
6640:Homework Assignments and Final Class Project
During the course of the semester Homework projects will be assigned that implement key algorithms and concepts discussed in the class. For the final class project, the class will be working in groups. Each group will be expected to develop a comprehensive image processing project using the techniques developed and implemented during the semester. During the finals week each group will give an oral presentation of their project to the entire class. It is expected that each group will also create a project web page.
6640:Supplementary material and Image Database
This page will contain pointers and references to supplementary material as well as test images as needed.
A great document to help understand histograms and curves: www.dl-c.com/histogram.pdf
6640:Questions and Answers
Please post general class questions and answers here. It is expected that students refer to this section regularly and participation in the section will be counted towards your Grade.
6640:Class List
Here you will find the list of all the students enrolled and assignments for class notes.
6640:Class Projects
This page contains the details for the class project as well the group lists.
Accommodations Policy
The University of Utah seeks to provide equal access to its programs, services and activities for people with disabilities. If you will need accommodations in the class, reasonable prior notice needs to be given to the Center for Disability Services, 162 Olpin Union Building, 581-5020 (V/TDD). CDS will work with you and the instructor to make arrangements for accommodations.
All written information in this course can be made available in alternative format with prior notification to the Center for Disability Services.
Attendance http://www.acs.utah.edu/sched/handbook/attend.htm
Accommodation http://www.admin.utah.edu/facdev/index.html
Academic Honesty http://www.admin.utah.edu/ppmanual/8/8-10.html
Drop/Withdrawal and Other Important Dates to Remember http://www.sa.utah.edu/regist/pages/Deadlines.html
