Measuring Biomechanics of the Vision Process, Sensory Fusion and Image Observation Features - Technologies for Medical Sciences - page 89

a b

Original or Distorted
RGB Image

movement
detection by
angular
direction

parietal cortex

7a
+ VIP

Dynamic Normalisation Pretectum

FEF

RGB Image

MST

Screen's Gamma Function
RGB Luminances Image

Eye posterior

parietal
cortex
visual
attention

cortex
frontal
eyes
movements
control

V5
(=MT)

Conversion to
Krauskopf's Colorspace
ACr1Cr2 Luminances Image

thalamus

LGN

Contrast Sensitivity Funciton

90% of the
ganglion
cells

V1 V2

Perceptual Luminances Image

features
detection
+ angular
selectivity

topographic
organisation

Perceptual Channels
Decompostion
Perceptual
Subbands
Image

V3

L
O
O
P

cortex occipital

Fixation Point
Selection

10% of the
ganglion
cells

consciousness +
discrimination
between objects

Colliculus

V4

Extraction of the Oriented
Segment with Contrast at the
Fixation Point and Features
Measurement

Fixation
Point

V1

Fixation Points in Absolute
Coordinates and Features

mesencephalic visual centers

infero
temporal
cortex

Objects
recognition with
visual memory
short duration
visual memory
(context)

Transformation for Invariance to
Translation, Rotation & Zoom

V2

Superior
Colliculus

look orientation PIT

Fixation Points in Invariant
Coordinates and Features

AIT

pupil control and
accommodation

Database (Visual Image
Memory)

Pretectum

Ventral Pathway

Structual Invariant
Representations of
Several Images

Fig. 4 Model of human vision process [ 14 ] - block scheme of the human vision process ( a )and
modeled mathematical algorithm of the human vision process ( b )

It is very important to monitor these conditions in childhood to prevent abnormal
vision. Automated methods for observing visual functions that are suitable for
screening have been developed [ 17 , 18 , 26 - 28 ].

1.1.4 Vision Models - HVS (Human Vision Models)

Above mentioned anatomy and physiology features and process of vision are very
often mathematically modelled [ 7 , 10 - 14 ]. Example of complex model is presented
in the Fig. 4 a. There is shown whole process of vision. This model was performed
by Carneca, Calleta and Barby [ 14 ]. Its mathematical algorithm is presented in the
Fig. 4 b.

1.2 Measuring Accommodation and Eye Movements

Important part of the vision process is coordination of accommodation with eye
movements. We developed two unique measurement systems E.M.AN and Ir.M.A.
that are described in this part. First who has been interested in measuring of