1. Machine Vision By: Reza Ebrahimpour 2009 ebrahimpour@ipm.ir
2009

2. Lecture 1 Introduction
Machine Vision
R. Ebrahimpour, 2008

3. Machine Vision

4. Digital Image Processing
Textbook:
1) .Rafael C. Gonzalez and Richard E. Woods, "Digital Image Processing, 2nd edition", Prentice Hall, 2002.
Web Page:
- .Rafael C. Gonzalez and Richard E. Woods, “Digital Image Processing Using Matlab”, Prentice Hall, 2006.
Reference Books:
2) John C. Russ, “The Image Processing Handbook, Third edition”, IEEE Press, 1999.
3) Anil k. Jain, “Fundamentals of Digital Image Processing”, Prentice-Hall, 1989.
4) Ian T. Young, Jan J. Gerbrands and Lucas J. van Vliet, “Fundamentals of Image Processing”.

7. Image Enhancement
Image Restoration

8. Digital Image Fundamentals
Why we need to study Human Visual System(HVS)?
Since we process image
– A true measure of image processing quality is how well the image appears to the observer.
– The HVS is very complex and is not understood well in a complete sense.
However, many of its properties can be identified and used to our advantage.
So, we need to know
What intensity differences, we can distinguish?
What is the spatial resolution of our eye?
How accurately we estimate and compare distances and areas?
How do we sense colors?
By which features can we detect and distinguish objects? 8

9. Visual Processing by the Retina
From Principles of Neural Science(Kandel, 2007), Chap

10. Two types of photoreceptors: rods and cones

12. From Rod and Cone to optic nerve

13. The visual field has both binocular and monocular zones

14. The lens of the eye projects an inverted image on the retina in the same way as a camera

15. A simplified diagram of the projections from the retina to the visual areas of the thalamus (lateral geniculate nucleus) and midbrain (pretectum and superior colliculus)

16. Visual losses after selective lesioning of the magnocellular and
parvocellular layers of the lateral geniculate nucleus in monkeys

17. The primary visual cortex has distinct anatomical layers, each
with characteristic synaptic connections

18. Receptive field of a simple cell in the primary visual cortex

21. Perception of Motion, Depth, and Form

22. Depth Perception

23. Illusions of edges used to study the higher level information processing in V2 cells of the monkey

24. Response of a neuron in the inferior temporal cortex to complex stimuli