CSE4227 Digital Image Processing Syllabus - Ahsanullah University of Science & Technology, Study notes of Digital Image Processing

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CSE4227 Digital Image Processing
Introductory Class
Dr. Kazi A Kalpoma
Professor, Department of CSE
& Director of ICT
Ahsanullah University of Science & Technology (AUST)
Google Class code: q7y5agh
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CSE4227 Digital Image Processing

Introductory Class

Dr. Kazi A Kalpoma

Professor, Department of CSE

& Director of ICT

Ahsanullah University of Science & Technology (AUST)

Contact: [email protected]

Google Class code: q7y5agh

WELCOME TO

MY CLASS

[email protected]

2

Continuation….

Lecturer / Assistant / Associate / Professor

at AIUB, May 2001 ~ Sept 2017

Professor at AUST, Nov 2017 ~ date

Director of ICT, AUST May 2019 ~ date

IEEE reviewer for more than a decade.

Reviewer, TCM, PCM of different International

Conferences

My Profile

The list of courses I taught:

1. Digital Image Processing (M.Sc./B.Sc.)
2. Computer Vision and Pattern Recognition (M.Sc.)
3. Machine Learning and Neural Network (M.Sc.)
4. Computer Organization and Architecture (M.Sc./B.Sc.)
5. Advanced Operating System (M.Sc.)
6. Operating System
7. Programming Language (C/C++ )
8. Discrete Mathematics
9. Data Structure
10. Research Methodology

5

Contact Information

Office: 6

th

floor, Building-A Room#7A01/D

Email:

[email protected]

Tel: 8870422 Ext: 504

Facebook: [email protected]
Linkedin: [email protected]
Research gate: [email protected]

Please send me message before sending any friend request in social media

Reading Materials Textbook

R.C. Gonzalez and R.E. Woods, Digital Image

Processing (3rd Edition), Prentice Hall, 2008

Scott E Umbaugh, Digital Image Processing and

Analysis: Human and Computer Vision

Applications with CVIPtools, Second Edition

Marks Distribution:

Attendance and Class Performance 10 Class Test 20 Final Exam 70 Total 100

Three class tests will be taken and best TWO will be considered for
“Class Test” marks.

PRE-REQUEST:

Students will be expected to be familiar with

Data Structure Basic Probability/Statistics  Linear Algebra Vector Calculus