Syllabus
Digital
Imaging
Instructor: Herbert Tesser Term: Spring 2001
This Digital Imaging course, by lecture, demonstration and practical “hands-on” training, teaches the basics of digital cameras, computers and digital imaging methods to produce quality images for forensic science and law enforcement professionals. The use and selection of equipment for efficient photographic imaging are stressed.
Students who successfully complete the course will be:
· Knowledgeable of the operation of digital imaging (DI) systems and know the trade-off made when selecting DI system components (i.e., computers, cameras, scanners, printers, etc).
· Familiar with Adobe photoshop software and be able to discuss various plug-in filters used for enhancing images.
· Familiar with methods used to capture, import and archive images.
· Familiar with methods of extracting data from and applying geometric transformations to digital images.
· Prepared to continue their study in Digital Imaging Processing.
Required
· The Image Processing Handbook, Russ, J.C., CRC Press, 3rd Edition (1999)
Suggested Reference and Reading
· Photoshop 5 for Windows Bible, McClelland, D., IDG Books Worldwide (1998)
· Digital Image Processing, Gonzalez, R.C., Woods, R.E., Addison Wesley (1993)
Digital Imaging will meet on Thursday nights from 6:00 to 9:00 pm in the first floor lecture room of the Forensic Science building, 1401 Forensic Science Drive (just off Charleston Ave.), Huntington.
This course is a three credit hour course. Class will consist of lecture and some lab. The computer lab will open (times to be determined) for students to use to complete their assignments.
There will be two exams and a final exam.
There will also be in-class lab assignments.
A number of projects will also be assigned.
Students must attend class. This course will introduce students to topics not covered in any other course in Forensic Science. It is important you attend class. I will not take attendance, but expect to see you at each class.
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The final grade will be calculated as follows |
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The expected grading scale is shown below. I may “curve” but don’t count on it. |
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1st exam |
20% |
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90-100 |
A |
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2nd exam |
20% |
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80-89 |
B |
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Homework and Assignments |
15% |
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67-79 |
C |
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Projects |
20% |
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Final exam |
25% |
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0-67 |
F |
Tentative dates for exams are shown in the course schedule. If you have other plans on any of these dates please make arrangements now to change them, or inform the instructor of your plans.
If you must miss an exam, you must have a verifiable, well-documented excuse. If the instructor accepts the excuse you will be given a make-up exam. Otherwise, you will be given a zero grade for the missed exam.
Digital Imaging
Spring 2000
Tentative
Course Schedule
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Week |
Chapter / pages |
Topics |
Homework |
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Jan 10 |
1 pages (p.) 1-31 |
Imaging in Forensic Science · General Introduction · Importance of Images · Acquiring Images
Lab: Elements of Computing Intro to PhotoShop |
Read the Introduction Read Chapter 1 P. 1-60 and 80-86 |
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17 |
1 p. 32-60 p. 80-86 |
Acquiring Images
Lab: Intro to PhotoShop
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Read Chapter 2 P. 87-124 |
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24 |
2 p. 87-124 |
Printing and Storage · Printing and Printing Hardware · Files and Storage · Optical Recording media · Image Databases |
Read Chapter 2 P. 124 - 160 Project 1 Due |
|
31 |
2 p. 124-160 |
Printing and Storage · File Compression
· MPEG and other Compression Methods Lab: Storing compressed images
|
Read Chapter 3 p 161-180 p. 216- 225 |
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Feb 7 |
3 p 161-180 p.216- 225 |
Correcting Imaging Defects · Noisy Images · Neighborhood averaging Lab: Techniques for reducing noise
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Review Chapters 1-3 For Exam Project 2 Due |
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Feb 14 |
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Exam I |
Read Chapter 4 p. 227-268 |
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21 |
4 p. 227-268 |
Image Enhancement · Contrast Manipulation · Histogram Equalization · Edge Detectors Lab: Filter operations |
Read Chapter 4 p. 290-294 |
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28 |
4 p. 290-294 |
Image Enhancement · Adding and Subtracting images Lab: Enhancement techniques
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Read Chapter 5 p. 305-320 |
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March 8 |
5 p. 305-320 |
Processing Images · Fourier Transform Lab: Illustrations of working
with FT
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Read Chapter 5 P. 298-319 Project 3 Due |
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15 |
5 p. 298-319 |
Processing Images · Measuring Images · Filtering Images Lab: Practicum using filters
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Review Chapters 4 and 5 for second exam |
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22 |
Spring Break |
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|
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29 |
Second Exam |
6 p. 371-386 p. 400-420 |
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April 5 |
6 p. 371-386 p. 400-420 |
Segmentation and Thresholding Lab:
Segmentation techniques |
7 p. 431-460 Project 4 Due |
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12 |
7 p. 431-460 |
Processing Binary Images Lab: Measuring areas and moments |
8 p. 509-519 p. 529-532 |
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19 |
8 p. 509-519 p. 529-532 |
Image Measurements Lab: Measuring curved objects
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8 p. 543-551 p. 553-555 |
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26 |
8 p. 543-551 p. 553-555 |
Image Measurements |
Review Chapters 6-8 for final exam |
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May 3 |
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Final Exam |
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