Modelling the colour difference by artificial neural network
Adli, Alireza (2016)
Diplomityö
Adli, Alireza
2016
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2016051612381
https://urn.fi/URN:NBN:fi-fe2016051612381
Tiivistelmä
This thesis work studies the modelling of the colour difference using artificial neural network. Multilayer percepton (MLP) network is proposed to model CIEDE2000 colour
difference formula. MLP is applied to classify colour points in CIE xy chromaticity
diagram. In this context, the evaluation was performed using Munsell colour data and
MacAdam colour discrimination ellipses. Moreover, in CIE xy chromaticity diagram just
noticeable differences (JND) of MacAdam ellipses centres are computed by CIEDE2000,
to compare JND of CIEDE2000 and MacAdam ellipses. CIEDE2000 changes the orientation of blue areas in CIE xy chromaticity diagram toward neutral areas, but on the
whole it does not totally agree with the MacAdam ellipses. The proposed MLP for both
modelling CIEDE2000 and classifying colour points showed good accuracy and achieved acceptable results.
difference formula. MLP is applied to classify colour points in CIE xy chromaticity
diagram. In this context, the evaluation was performed using Munsell colour data and
MacAdam colour discrimination ellipses. Moreover, in CIE xy chromaticity diagram just
noticeable differences (JND) of MacAdam ellipses centres are computed by CIEDE2000,
to compare JND of CIEDE2000 and MacAdam ellipses. CIEDE2000 changes the orientation of blue areas in CIE xy chromaticity diagram toward neutral areas, but on the
whole it does not totally agree with the MacAdam ellipses. The proposed MLP for both
modelling CIEDE2000 and classifying colour points showed good accuracy and achieved acceptable results.