Image Processing and Analysis (5 ECTS) J175511

The Course code: CIMET IPA

Course description

This course is a graduate-level introductory course to the fundamentals of digital image processing and analysis. It emphasizes general principles of image processing, rather than specific applications. We expect to cover topics such as digital image definition, basic transformations, sampling and quantization, point operations, linear image filtering, transforms and histogram processing, spatial, frequency and nonlinear filtering, image segmentation, texture analysis, color representations and spaces, simple feature extraction.

Topics to be taught:

• Introduction and overview of image processing; Image formation & sensing; sampling & quantization; pixel connectivity; digital images format
• Arithmetic/logic operations; 1-1 image processing
• Histogram processing; gray level transformation; thresholding, equalization;
• Spatial filtering; smoothing; Laplacian, sharpening; gradient and other derivative filters, point, line and edge detectors, Derivatives of Gaussian (DoG) and Laplacian of Gaussian (LoG) filters;
• Filtering in the frequency domain; Fourier transform, image spectrum, lowpass filters; highpass and other filters
• Image restoration; noise reduction using spatial filters; adaptive filtering; noise reduction using frequency domain techniques; image degradation;
• Image segmentation; region growing; region splitting and merging; region adjacency graph
• Morphological filtering
• Color images; color spaces; color space transformations; pseudocolor transformations; Color image transformations and color image processing
• Image analysis; texture analysis; features extraction.

Lecture Materials

Lectures

Schedule: 32 h lectures
Teacher: Alexander Kolesnikov
Schedule: 32 h, starting from 28.10.2009
Wednesday: 12-14 (TD106)
Thursday: 12-14 (TD106)

Exercises

Teacher: Alexander Kolesnikov

Schedule: 16 hours, starting from 06.11.2009
Friday: 12-14 (TD106B)

Please, send the solutions of the tasks before 24.00, Thursday. My email: koles at cs dot joensuu dot fi.
Zip file should include output images or screenshots, Matlab *m files. A short report (not DOCX format) with images and plots is appreciated. .
The zip filename should include your name and demo number. Example: John_Doe_Demo_01.zip

Test images

1. "Lena"
2. "Living room"
3. Fig0316(1)(top_left)
4. Fig0316(4)(bottom_left)
5. Lena_frag

Tasks

1. Exercise 1.
2. Exercise 2 - 20.11.2009
3. Exercise 3 - 20.11.2009
4. Exercise 4 - 27.11.2009
5. Exercise 5 - 04.12.2009

6. Exercise 6 - 11.12.2009
7. Exercise 7 - 12.12.2009

Exams

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