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PRESETATION BY: TEJAS KAVITAKE DANIEL AKU YIRANG

COLOUR RECIPE PREDICTION. PRESETATION BY: TEJAS KAVITAKE DANIEL AKU YIRANG. INTRODUCTION. Color recipe prediction is a practical application of soft computing. Color recipe prediction introduces “ Neuro -fuzzy methodology” and “Computational intelligence”

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PRESETATION BY: TEJAS KAVITAKE DANIEL AKU YIRANG

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  1. COLOUR RECIPE PREDICTION PRESETATION BY: TEJAS KAVITAKE DANIEL AKU YIRANG

  2. INTRODUCTION • Color recipe prediction is a practical application of soft computing. • Color recipe prediction introduces “Neuro-fuzzy methodology” and “Computational intelligence” • It combines 3 principles of soft computing components: (i) Fuzzy systems (ii) Neural networks (iii) Genetic algorithms

  3. i/p & o/p relation in color recipe prediction 16 inputs 10 outputs Target color White Black Green 1 Red 1 Green 2 Violet Red 2 Yellow 1 Yellow 2 Blue Color recipe prediction system Surface spectral reflectance

  4. Main concerns in color recipe prediction • It is difficult to predict precise colorant concentrations{ we need to specify levels such as 0.01%}. • It is necessary to specify use of limited number of colorants and we need to avoid the use of complementary colorants. • The magnitude of mean-squared error of colorant vectors may not correspond exactly to that of color differences. • It is important to consider human visual sensitivity to color difference, which may be costly. • Some different combinations of colorant may have the same perceptual attributes of color as seen by humans.

  5. Canfis modeling for color recipe prediction.

  6. Canfis modeling • CANFIS basically stands for “ CoActiveNeuro-fuzzy Inference Systems “. • In this section we show how neuro fuzzy models can be generalized for application to color recipe prediction.

  7. Understanding basic terms • MF’s : Membership Functions • Hue : A perceptual attribute of color which is linguistic variable • W : Firing strength {eg : for firing strength of yellow color we write W(y)}

  8. CANFIS Architectures • Understanding with an example : YELLOW RULE : if the target color is “yellow”, then use yellow rule, C(y). YELLOW RULE 1 : if the target color is “greenish yellow” then use a “greenish yellow” rule, C(gy). YELLOW RULE 2 : if the target color is “ very yellow” then use a “very yellow” rule, C(vy). YELLOW RULE 3 : if the target color is “reddish yellow” then use a “reddish yellow” rule, C(ry).

  9. Canfis with five color rules for color recipe prediction

  10. Thank you……….

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