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Computer Vision ... (Published 1992)

Simulated Human Vision..... Ian Overington

Location: Eastbourne. UK
ianoverington@simulatedvision.co.uk ............ www.simulatedvision.co.uk


3.2. Basic steps of the computer preprocessor.
3.3. Dioptric and neural blur.
3.4. The sampling matrix.
3.5. Image scaling.
3.6. Simulation of receptor response.
3.7. Local spatial interactions.
3.8. Basic orientation sensing.
3.9. Profile extraction.
3.10. ‘Vernier’ orientation sensing.
3.11. Distortions.
3.12. Local motion sensing.
3.13. Stereo vision.
3.14. Local integration and scale independence.
3.15. Colour processes.

Chapter 4. Combined first and second difference edge sensing.

4.1. INTRODUCTION.

For many years, as discussed in Chapter 2, it has been postulated at B.Ae. that biological vision
systems, by and large, are organised to sense 1st differences of scene luminance in space and time.
Such a hypothesis has proved to be very robust in multi-dimensional parameter space for human
visual threshold modelling. On the other hand, as discussed in Chapter 3, it has to be admitted that
the early processes of vision
appear to behave like Laplacian operators, thereby providing, it would
seem,
second differences of scene luminance. When we first attempted to set up a simulation of

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