Computer Science Course Information

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Image Processing and Analysis

Course No. CIS 659

Sections 851

Title Image Processing and Analysis

Course Website http://www.cis.njit.edu/~shih

Prerequisite(s) CIS 505

Instructor Frank Shih
Office Room No. : GITC 4209
Office Phone : 973-596-5654
Fax : 973-596-5777
Email : frank.y.shih@njit.edu
Website: http://web.njit.edu/~shih
Lab : Computer Vision Laboratory

Instructor Office Hours

Description This course is an intensive study of the fundamentals of image processing, analysis and understanding. Topics to be covered include: a brief review of the necessary mathematical tools, human visual perception, sampling and quantization, image transformation, enhancement, restoration, compression, reconstruction, image geometric transformation, matching, segmentation, feature extraction, representation and description, recognition and
interpretation, and so on.

Topics Introduction, Digital Image Fundamentals
Image Transform, Image Enhancement
Image Matching, Image Segmentation
Image Representation, Pattern Recognition

Text Book(s) R. Gonzalez and R. Woods, Digital Image Processing, Addison Wesley, 2002.

Time & Place DL

Other Info GRADING: Final Exam (will be posted on web) (40%), Three Projects (15%
each), Homeworks (15%)

There will be a total of 100 points. The grade assign is based on the
following:

A: 90 -100 points
B+: 80 – 89 points
B: 70 - 79 points
C+: 65 - 69 points
C: 60 – 64 points
D: 50 – 59 points
F: 0 - 49 points

I may curve up when assigning grades, but will in no circumstance curve
down. I will not assign an incomplete grade unless there are
extraordinary circumstances.

EXAM:

Final Exam will be posted on web site on December 9, 2pm and is due on
December 13, 2pm by an email with attachment.

ASSIGNMENT:
There are four homework problems and three programming project assignment.

Academic Honor Code

The NJIT academic honor code
(http://www.njit.edu/academics/honorcode.php)applies in full to this
class. Note in particular that copying programs, in full or in part, is
forbidden. You may discuss ideas and concepts with your fellow
students, but you may NOT copy any code.

Registrar's Website

Course No.	CIS 659
Sections	851
Title	Image Processing and Analysis
Course Website	http://www.cis.njit.edu/~shih
Prerequisite(s)	CIS 505
Instructor	Frank Shih Office Room No. : GITC 4209 Office Phone : 973-596-5654 Fax : 973-596-5777 Email : frank.y.shih@njit.edu Website: http://web.njit.edu/~shih Lab : Computer Vision Laboratory
Instructor Office Hours
Description	This course is an intensive study of the fundamentals of image processing, analysis and understanding. Topics to be covered include: a brief review of the necessary mathematical tools, human visual perception, sampling and quantization, image transformation, enhancement, restoration, compression, reconstruction, image geometric transformation, matching, segmentation, feature extraction, representation and description, recognition and interpretation, and so on.
Topics	Introduction, Digital Image Fundamentals Image Transform, Image Enhancement Image Matching, Image Segmentation Image Representation, Pattern Recognition
Text Book(s)	R. Gonzalez and R. Woods, Digital Image Processing, Addison Wesley, 2002.
Time & Place	DL
Other Info	GRADING: Final Exam (will be posted on web) (40%), Three Projects (15% each), Homeworks (15%) There will be a total of 100 points. The grade assign is based on the following: A: 90 -100 points B+: 80 – 89 points B: 70 - 79 points C+: 65 - 69 points C: 60 – 64 points D: 50 – 59 points F: 0 - 49 points I may curve up when assigning grades, but will in no circumstance curve down. I will not assign an incomplete grade unless there are extraordinary circumstances. EXAM: Final Exam will be posted on web site on December 9, 2pm and is due on December 13, 2pm by an email with attachment. ASSIGNMENT: There are four homework problems and three programming project assignment. Academic Honor Code The NJIT academic honor code (http://www.njit.edu/academics/honorcode.php)applies in full to this class. Note in particular that copying programs, in full or in part, is forbidden. You may discuss ideas and concepts with your fellow students, but you may NOT copy any code.