Omar Al-Kadi's Homepage

Document Analysis & Recognition (Lecture notes*)

Course syllabus
Ch1
Ch2
Ch3
Ch4
Ch5
Ch6
Ch7 & 8
Ch9
Ch10

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Important announcement: In the unforeseen condition of the coronavirus outbreak, all lectures will go online and via the e-learning platform. Screencasts (narrated videos) will be uploaded consecutively to my homepage and the e-learning platform. Students are kindly requested to get in contact with me for any assistance.
Take care and stay safe

Announcement 2: First quiz marks can be seen here.
Announcement 3: First midterm exam marks can be accessed here.
Announcement 4: Semesters’ overall marks can be seen here.

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For this week 7:

• Programming project (grading, guidelines)
• Exercises on DCT (see example5)

 

Week 6:

• Color Image Processing (Ch 6 slides 1-40 only)
• Matlab implementation (mfile4, example4, mfile5)
• Image Compression (Ch 7 slides 1-15 + example5)
• Quiz: take the quiz, click here.

 

Week 5:

• Ch5: Image Restoration (large file 118MB)
• Exercises, ex2&3_soln

 

Week 4:

• Frequency filtering:
  • One-Dimensional Fourier transform numerical example (example, cat2pol, example2)
  • Calculating 1-D Fourier transform and deriving magnitude and phase angle of frequency domain spectrum (mfile1, mfile2)
  • Two-Dimensional frequency domain filtering (mfile3)
• Quiz: take the quiz, click here.
• Project submission: upload your project by clicking here.

 

Week 3:

• Matlab implementation of the above spatial filters for image enhancement (pdf, mfile)
• Image spatial filtering simple example (pdf, pdf2).
• Incase if you experience difficulty in submitting your assignment3 to the e-learning platform (e.g. server down), you can upload your assignment here (use class code: rklj3yu). Due date is Thursday, March 26th at 5:00pm.
• Chapter 4 screencasts can be viewed and downloaded from the following url links:
  • • Ch4 Part 1 (Introduction to Frequency Domain Filtering)
    • Ch4 Part 2 (Frequency Domain Components)
    • Ch4 Part 3 (Low & High-pass Filters)
    • Ch4 Part 4 (Smoothing & Sharpening in Frequency Domain)

All 4 parts can be download in one piece. (large file 158MB)

 

Week 2:

Screencasts for image enhancement in spatial domain have been uploaded to the e-learning platform. You may also view and download the videos from the following links:

• Part 1 (Image smoothing and blurring – box and average filter)
• Part 2 (Noise removal – median filter)
• Part 3 (Image sharpening)
• Part 4 (Sobel filter and comprehensive example)

• Manipulating matrices (images) in MATLAB

Week 1:

• Connectivity operations (pdf, video)
• Distance measures (city block, max, and Euclidean distance)
• Bit-plane slicing
• Numerical example on histogram equalisation.

 

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(*Source textbook: R. Gonzalez, R. E. Woods, Digital Image Processing, 4th Ed.,Prentice Hall, 2018)