Color2Gray PCA Image Analysis and Projection

We explored linear dimensionality reduction techiniques via principal component analysis (PCA). Below is a brief explanation of the algorithm and the results of PCA in both RGB and CIELAB color spaces. Algorithm:

abWB
RGB_2_Gray

abWB
LAB_2_Gray

colorBlind12
RGB_2_Gray

colorBlind12
LAB_2_Gray

colorBlind35
RGB_2_Gray

colorBlind35
LAB_2_Gray

colorBlind45
RGB_2_Gray

colorBlind45
LAB_2_Gray

colorBlind6
RGB_2_Gray

colorBlind6
LAB_2_Gray

colorwheel
RGB_2_Gray

colorwheel
LAB_2_Gray

EqLumDots
RGB_2_Gray

EqLumDots
LAB_2_Gray

greywheel
RGB_2_Gray

greywheel
LAB_2_Gray

rg15x10
RGB_2_Gray

rg15x10
LAB_2_Gray

Sunrise
RGB_2_Gray

Sunrise
LAB_2_Gray