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« ª¨¨® - Jemná mechanika a optika

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��<br />

( )= ( )+ ( )+ ( ),<br />

S λ κ S λ κ S λ κ S λ<br />

M h h g g r r<br />

(12)<br />

cannot by measured directly for any light wavelength λ. This statement<br />

follows from the fact that the precise quantitative separation<br />

of soil haematite and soil goethite components under consideration<br />

from the associated iron oxide-free soil component is not available,<br />

usually. Because the total values A (λ) and S (λ) of Eqs. (11) and<br />

M M<br />

(12) can be known for a chosen number of complete soils (they are<br />

obtainable by separate spectrophotometrical measurements), we can<br />

estimate the corresponding sufficient average (most probable, best,<br />

optimal) soil components representative values Ah ( λ),<br />

Ag ( λ),<br />

Ar ( λ),<br />

S h ( λ),<br />

S g ( λ)<br />

and S r ( λ)<br />

by the way suggested in [4].<br />

Such a way is based on exploitation of a total number m of soil<br />

samples, higher than the total number 3 of unknowns (m > 3), in<br />

every separated Eqs. (11) and (12). The relevant average values,<br />

mentioned above, are the results of application of the minimization<br />

least-squares procedures of symbolic forms<br />

⎧ m<br />

2<br />

min ⎨<br />

⎪ ⎡A<br />

λ A λ ,<br />

M ( )−<br />

i<br />

M ( ) ⎤<br />

⎫<br />

⎬<br />

⎪<br />

⎩<br />

⎪∑<br />

⎪<br />

⎣⎢<br />

⎦⎥<br />

i=<br />

1<br />

⎭<br />

⎪<br />

⎧ m<br />

2<br />

min ⎨<br />

⎪ ⎡S<br />

λ S λ ,<br />

M ( )−<br />

i<br />

M ( ) ⎤<br />

⎫<br />

⎬<br />

⎪<br />

⎩<br />

⎪∑<br />

⎪<br />

⎣⎢<br />

⎦⎥<br />

i=<br />

1<br />

⎭<br />

⎪<br />

(13)<br />

(14)<br />

where A ( λ)and<br />

S ( λ)<br />

are the obtained values of A (λ) and<br />

Mi<br />

Mi<br />

M<br />

S (λ). To find the minima of Eqs. (13) and (14), their partial<br />

M<br />

derivatives according to A ( λ),<br />

A ( λ),<br />

A ( λ)<br />

and S hi<br />

gi<br />

ri ( λ),<br />

hi<br />

S ( λ),<br />

S ( λ)<br />

equated to zero are suitable. They give, namely,<br />

gi ri<br />

the searched average values Ah ( λ),<br />

Ag ( λ),<br />

Ar ( λ),<br />

and S h ( λ),<br />

S g ( λ)<br />

, S r ( λ)<br />

for the considered wavelength λ.<br />

3. PRESENTATION AND INTERPRETATION OF THE<br />

CHOSEN SOIL REDNESS RATES UNDER EXPLOITED<br />

COLOR SYSTEMS<br />

To quantify the redness effect by haematite, occuring obviously<br />

in soils, various suitable redness rates (ratings, indices, degrees)<br />

were defined which allow the numerical assessment of the haematite<br />

content in soils. For instance, two useful empirical redness rates were<br />

suggested and applied in [15]. Their definitions are of forms:<br />

( )<br />

( )<br />

x 035 .<br />

ρ Yxy<br />

1(<br />

, , )= ,<br />

y 035 . Y<br />

−<br />

−<br />

( )<br />

10−<br />

H C<br />

ρ HVC , , .<br />

1(<br />

)=<br />

V<br />

(15)<br />

(16)<br />

The quantities of Eqs. (15) and (16) were modified and extended<br />

afterwards to the following triad of redness rates by [4]:<br />

4<br />

10 x −034<br />

.<br />

ρ Yxy<br />

2(<br />

, , )=<br />

y−034 . Y<br />

(17)<br />

(18)<br />

(19)<br />

The definitions of Eqs. (17) - (19) relate to three classical<br />

color classification systems (X,Y,Z), (L * ,a * ,b * ) and (H,V,C), which<br />

are introduced in the following text, while Eqs. (15) and (16) are<br />

2<br />

( )<br />

( ) 2<br />

10 * * *<br />

10 a a + b<br />

* * *<br />

ρ L a b<br />

2(<br />

, , )=<br />

,<br />

6<br />

* *<br />

bL<br />

2<br />

( )<br />

,<br />

2 2 12 /<br />

( )<br />

3<br />

10 10−<br />

H C<br />

ρ HVC<br />

2(<br />

, , )=<br />

,<br />

6<br />

V<br />

3<br />

associated only to two color classification systems (X,Y,Z) and<br />

(H,V,C). All the introduced redness rates are most optimal for the<br />

artificial binary mixtures of haematite and remaining iron oxide-free<br />

soil component. Unfortunately, they are restricted by saturation in<br />

redness for haematite content higher than about 0.15. According to<br />

[4], the quantities of Eqs. (17) – (19), following from tests until the<br />

maximum correlation was obtained between the redness rate and<br />

haematite content κ h , seems to be more realistic and hence more<br />

useful in practice rather than the quantities of Eqs. (15) and (16).<br />

Hence, only the quantities of Eqs. (17) – (19) are considered in the<br />

following text. The tests mentioned above also show usefulness of<br />

Eqs. (17) – (19) to determine the redness effects of haematite in<br />

a binary mixture with goethite. In such cases, the color changes<br />

occur up to about κ h = 0.1 for haematite and up to about κ g = 0.3<br />

for goethite. In the case of pure haematite, a decrease in the redness<br />

rate was observed for κ h > 0.15, while in goethite the primary<br />

yellowness decreases for κ g > 0,5. Because of obvious much lower<br />

pigmenting effectivity of goethite in three-part haematite, goethite<br />

and iron oxide-free soils, their color redness effects are essentially<br />

insensitive to the goethite content κ g . Hence, the maximum value<br />

κ h = 0.15 (alredy mentioned above for nonsaturated redness) can be<br />

accepted also for such soils. The common (average) pigment mixtures<br />

found in natural soils of haematite, goethite and iron oxide-free<br />

components usually contain κ h < 0.15 and κ g < 0.15. Therefore, the<br />

exploitation of the redness rates of Eqs. (17) – (19) is allowable.<br />

In accordance with [6-14], the quantities (color coordinates) in<br />

Eqs. (15) – (19) realize the classical definitions:<br />

X<br />

Y<br />

x<br />

y<br />

X Y Z X Y Z z<br />

Z<br />

= , = , = ,<br />

+ + + + X + Y+ Z<br />

= ∫ ( ) ( ) ( )<br />

X k P λ E λ x λ d λ,<br />

�λ<br />

= ∫ ( ) ( ) ( )<br />

Y k P λ E λ y λ d λ,<br />

�λ<br />

= ∫ ( ) ( ) ( )<br />

Z k P λ E λ z λ d λ,<br />

�λ<br />

k =<br />

13 /<br />

∫<br />

�λ<br />

100<br />

,<br />

E( λ) y(<br />

λ) dλ<br />

⎛ Y ⎞<br />

*<br />

Y<br />

L = 116 ⎜ − 16 , for > 0. 008856,<br />

⎝⎜<br />

Y ⎠⎟<br />

Y<br />

0<br />

13 /<br />

⎛ Y ⎞<br />

*<br />

Y<br />

L = 903. 3 ⎜ , for ≤ 0. 008856 ,<br />

⎝⎜<br />

Y ⎠⎟<br />

Y<br />

a<br />

b<br />

*<br />

*<br />

0<br />

/<br />

⎛ X ⎞ Y<br />

= ⎜<br />

⎝⎜<br />

X ⎠⎟<br />

Y<br />

−⎛<br />

⎡ 13<br />

⎢<br />

⎞<br />

500 ⎜<br />

⎢ ⎜<br />

⎢ ⎝⎜<br />

⎠⎟<br />

0<br />

0<br />

⎣<br />

/<br />

⎛ Y ⎞ Z<br />

= ⎜<br />

⎝⎜<br />

Y ⎠⎟<br />

Z<br />

−⎛<br />

⎡ 13<br />

⎢ ⎞<br />

500 ⎜<br />

⎢ ⎜<br />

⎢ ⎝⎜<br />

⎠⎟<br />

0<br />

0<br />

⎣<br />

(20)<br />

(21a)<br />

(21b)<br />

(21c)<br />

(22)<br />

(23a)<br />

(23b)<br />

(23c)<br />

(23d)<br />

(24)<br />

where X 0 , Y 0 and Z 0 are the CIE tristimulus color coordinates for<br />

the illuminant reference white.<br />

The sample light spectral composition function P(λ) in Eqs.<br />

(21) represents either the reflectance spectrum R(λ) (if the sample<br />

is considered as opaque) or the absorbance spectrum A(λ) (if<br />

the sample is considered as transparent), E(λ) denotes the power<br />

0<br />

0<br />

1/ 3<br />

1/ 3<br />

⎤<br />

⎥ ,<br />

⎥<br />

⎦<br />

⎤<br />

⎥ ,<br />

⎥<br />

⎦<br />

*<br />

* b<br />

* * * 2 * 2<br />

/<br />

H � H � arctan , V � L , C � C � a � b ,<br />

*<br />

� �<br />

a 12<br />

������

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