Lectures

No. Topic Handouts
1. Computer vision and applications. Vision system structure and functions. Image acquisition systems .zip
2. Image formation and sensing. Camera model. .zip
3. Binary image processing: Tresholding. .zip
4. Binary image processing: Simple Geometric Properties. .zip
5. Binary image processing: Labeling, Contour Tracing, Polygonal Approximation. .zip
6. Binary image processing: Mathematical Morphology. .zip
7. Grayscale image processing: Mathematical methods for grayscale image processing, Statistic features of the grayscale images, Histogram processing, Point Processing. .zip
8. Gray scale image processing: Convolution and Fourier Transform. .zip
9. Gray scale image processing: Noise in images. .zip
10. Gray scale image processing: Digital Filtering I. .zip
11. Gray scale image processing: Digital Filtering II. .zip
12. Gray scale image segmentation: Edge based segmentation (first order differential methods). .zip
13. Gray scale image segmentation: Edge based segmentation (second order differential methods, edge linking, contour closing). .zip
14. Stereo-vision basics, Epipolar geometry, Depth computation. -
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Individual Study

Textbook and Readings

  1. R. C. Gonzales, R. E. Woods, "Digital Image Processing-Second Edition",3rd Edition, Prentice Hall, 2008
  2. R. C. Gonzalez, R. E. Woods, S. L. Eddins, "Digital Image Processing Using MATLAB", 2nd ed., Gatesmark Publishing, 2009.
  3. E. Trucco, A. Verri, "Introductory Techniques for 3-D Computer Vision", Prentice Hall, 1998.
  4. G. X.Ritter, J.N. Wilson, "Handbook of computer vision algorithms in image algebra", CRC Press, 2001.
  5. S. Nedevschi, T. Marita, R. Danescu, F. Oniga, R. Brehar, I. Giosan, S. Bota, A. Ciurte, V. Andrei, "Image Processing - Laboratory Guide", UTPRES, Cluj-Napoca, 2016