Indonesian J
ournal of Ele
c
trical Engin
eering and
Computer Sci
e
nce
Vol. 2, No. 2,
May 2016, pp
. 461 ~ 468
DOI: 10.115
9
1
/ijeecs.v2.i2.pp46
1-4
6
8
461
Re
cei
v
ed
Jan
uary 11, 201
6
;
Revi
sed Ap
ril 12, 2016; Accepted Ap
ril 29, 2016
Color Module Computer Aided Design in Indoor
Environment
Lifeng Pan
Schoo
l of Elect
r
ical & Informat
i
on En
gin
eer
in
g
Hun
an Intern
ation
a
l Econ
omic
s Universit
y
Cha
ngsh
a
, Chi
na, Postcod
e
: 410
20
5
A
b
st
r
a
ct
A compre
hens
ive sol
u
tio
n
se
t of strategies
is pr
op
ose
d
for interi
or col
o
r desig
n i
n
thi
s
study.
Co
mp
uter ai
de
d des
ign
meth
ods ar
e util
i
z
e
d
to so
lv
e the
probl
e
m
s i
n
the co
lor sch
e
m
e
proc
ess, the
existin
g
circu
m
stances, short
age a
nd tren
d of current
colo
r scheme tools
are ana
ly
z
e
d
base
d
on int
e
ri
or
desi
gn th
eory
and
mod
e
rn
de
sign
metho
dol
o
g
y. T
he a
ppr
op
riative c
o
l
o
r sp
ace is
co
nstruc
td to red
o
u
nd t
h
e
process
of sp
e
c
ial c
o
l
o
r se
lec
t
ion, the
ton
e
h
a
rmoni
z
i
n
g
to
o
l
is
bu
ilt b
a
se
d
on
architectur
e
exteri
or d
e
sig
n
,
and th
e col
o
r k
now
led
ge
data
base
an
d sche
m
e
data
bas
e a
r
e contriv
ed, th
e ratio
nal
ity of the col
o
r sche
m
e
m
e
tho
d
i
s
va
li
da
te
d
b
y
i
n
te
g
r
ate
d
ca
se
s, th
e
e
ffe
cti
v
e
wa
y of co
m
p
u
t
e
r
ai
de
d
co
lo
r de
si
gn
i
s
o
b
t
a
i
ne
d
and
this meth
od is app
lie
d
to
t
he instanc
e
of int
e
rior des
ign,
it provi
des
a k
e
y modu
le
for t
he i
n
teri
or d
e
si
gn
system
software. In the des
ign pr
oc
ess, the factors are taken such
as color spac
e property, color
har
mo
ni
z
i
n
g
e
ffect, color tone cl
assificati
o
n
, materi
a
l
a
n
d
texture effe
ct, a viabl
e c
o
lor
enact
m
e
n
t is
provi
ded for
moder
n interi
or d
e
sig
n
.
Ke
y
w
ords
: Co
mp
uter Ai
ded
Color
Des
i
gn (
C
ACD), Interi
o
r
Desig
n
(ID), color c
once
p
t of ind
oor d
e
si
g
n
,
tone har
mon
i
z
i
ng, Col
o
r Solut
i
ons D
a
tab
a
se
Copy
right
©
2016 In
stitu
t
e o
f
Ad
van
ced
En
g
i
n
eerin
g and
Scien
ce. All
rig
h
t
s reser
ve
d
.
1. Introduc
tion
Comp
uter-aid
ed de
sign
was p
r
op
osed
up for mo
re t
han 50 ye
ars of history from the
earlie
st con
c
ept to now
[1]. By
Industrial
De
si
gn
ers S
o
ci
ety of America (IDSA) Natio
nal
Confe
r
en
ce o
n
Comp
uter
Aided De
sig
n
technol
ogy in
1980, it wa
sl be intro
d
u
c
ed to the field of
indu
strial d
e
s
ign, in
du
stri
al de
sign
was m
ade
i
n
to the ne
w
pha
se of th
e co
mpute
r
-aided
indu
strial de
si
gn (Comp
u
ter-aide
d Indu
strial De
sign, ref
e
rred CAID) [2, 3].
The imp
a
ct o
f
comp
uters
on the
colo
r
desi
gn n
o
t only is
more effec
t
ively to c
o
mplete
the work, an
d its
own ch
ara
c
teri
stics
but al
so
b
r
in
gs
ne
w
style and
lang
uag
e to
colo
r d
e
s
ign.
Comp
uter p
r
ogra
m
s mi
mic many fe
ature
s
of tr
a
d
itional tool
s, so that peo
ple experi
e
n
c
e is
contin
uity, their fu
rther de
velopm
ent
m
a
ke
the
com
p
uter-aide
d
col
o
r d
e
si
gn
wit
h
a n
e
w tool
and
with their o
w
n
unique me
an
s of expre
ssi
on. CAID th
e
o
ry and techn
o
logy is mainl
y
the integrated
evolution fro
m
the traditional theory of colo
r de
sign, colo
r scien
c
e
and colo
r psycholo
g
y, which
combi
n
e
s
ad
vance
d
comp
uter te
chn
o
lo
gy, reflectin
g
the multi-di
sci
p
linary, multi
-
bran
ch
features
[4, 5].
People ha
s
increa
singly
deman
ding i
n
su
rvive an
d con
s
u
m
er environm
ent
, better
con
d
ition
s
a
r
e create
d
fo
r de
sig
ners t
o
sh
ow
the u
n
ique
creativi
t
y and individ
uality of sp
ace.
Due to
Upd
a
ting con
c
ep
ts, diverse types of d
e
coration
mate
rials, a
nd d
e
s
ign te
ch
niq
ues
update
s
, the
colo
rs of th
e i
ndoo
r e
n
viro
nment
are
g
r
eatly enri
c
h
e
d. The
pu
rsui
t of co
mforta
ble,
warm, elega
n
t
colors environment be
co
me com
m
on
goal to owne
rs a
nd de
sig
ners. Ho
wev
e
r,
there
are
ma
ny environ
me
ntal problem
s of colo
r d
e
si
gn, su
ch
as
Colo
r
spa
c
e t
r
ivial disorder,
lack overall to
ne, Environm
ent
drab, ide
n
t
ical, lack ch
ange [6].
By studying the kno
w
le
d
ge of colo
r sci
en
ce, inte
rior d
e
si
gn, psycholo
g
y and other
asp
e
ct
s, mo
re matu
re th
e
o
retical
re
sult
s of i
n
teri
or
d
e
sig
n
a
r
e
ab
sorbe
d
, so tha
t
the
com
put
er
-
aided
colo
r
module h
a
s
some ap
plica
b
ility [7]. As an appli
c
ation
module d
e
si
g
n
, there a
r
e
also
the followin
g
advantag
es [
8
].
First, the
do
wn
s an
d
ran
domne
ss a
r
e
avoided
in
the man
ual
desi
gn d
ue t
o
the
differen
c
e
s
in
person
a
l fee
lings
and
arti
stic a
c
compli
shme
nt, the
basi
c
requi
re
ments of
col
o
r
desi
gn is e
n
sured, while d
e
sig
ners a
r
e
allow
ed to make the a
ppro
p
riate fre
e
pla
y
[9].
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ISSN: 25
02-4
752
IJEECS
Vol.
2, No. 2, May 2016 : 461 –
468
462
Secon
d
, sin
c
e the cl
ear pu
rpo
s
e of
a co
lor de
sig
n
,
t
he sy
st
e
m
is
si
mple,
sel
e
ct
in
g col
o
r
and matching
color a
r
e very intuitive,
blindne
ss of col
o
r de
sign ofte
n is avoid [10
].
Third, the
system has scalability, a referenc
e
sol
u
tion is can
added based on
existing
desi
gn, their
own
solutio
n
s can al
so be
adde
d with software [11].
By a combin
ation of Interior De
sig
n
, co
lor
scien
c
e, visual p
s
ychol
ogy, comput
er-aide
d
color selection
is
de
sign
e
d
for
a valu
a
b
le in
doo
r a
r
chite
c
tural
en
vironme
n
t in
this
study, th
e
corre
c
t inte
ri
or
colo
r d
e
si
gn o
b
je
ctives, guidelin
es and prin
cipl
e
s
a
r
e develo
ped,
the
inte
rior
desi
gn in
du
stry is g
u
ide
d
to healthy a
nd
coordinat
ed devel
opm
ent as
a
wh
ole organi
sm
. A
reference design i
s
provided for the i
n
terior color
design
staff. An identifiabl
e, distinctive
vitality
interio
r
col
o
r
spa
c
e h
a
s b
e
en provid
ed for peo
ple living in the interior sp
ace.
2. Computer
-Aide
d
Color
Design Arc
h
itec
ture
Colo
r de
sig
n
pro
c
e
ss
ma
y relate to th
e co
nt
ent three a
s
pe
cts,
as
sho
w
n i
n
Figure 1.
From the perspective of
i
ndustrial desi
gn study, the content
reflects the readab
ility, visibility,
memory, a
s
sociative of the prod
uct col
o
r.
Figure 1. Col
o
r De
sig
n
Pro
c
e
s
s
After colo
r de
sign pl
anni
ng
pro
c
e
ss, "to
ne"
ha
s be
co
me the environment ove
r
all gra
s
p
of colo
r,
col
o
r
coo
r
din
a
tion de
pen
ds on ton
e
re
con
c
ile
co
nfiguratio
n d
e
si
gn, in o
r
de
r to
effectively control the colo
r sche
m
e, so
as the
visual
and psy
c
hol
o
g
ical ne
ed
s are to achieve
d
.
As sho
w
n in
Figure 2.
Figure 2. Hu
e Awarene
ss Relatio
n
ship Analysis
2.1. Color Q
u
anti
zation
Process
For col
o
r requi
rem
ents
of
multi-region
al, mu
lti-popul
ation,
multi-ten
d
indo
or
environ
ment
s, we make ra
pid and effe
ct
ive auxiliary color de
sig
n
m
e
thod
s.
Evaluation Warning : The document was created with Spire.PDF for Python.
IJEECS
ISSN:
2502-4
752
Colo
r Mod
u
le
Com
puter Aided Desi
gn in
Indoor En
vironm
ent
(Lifen
g Pan)
463
1)
Interior
col
o
r
need
s
cla
ssifi
cation m
ana
g
e
ment an
d co
nstrai
nts to fo
rm a
ca
se b
a
s
e of
colo
r
values
whi
c
h
can b
e
extracted;
2)
Colo
r com
b
in
ations
a
r
e di
vided
b
a
sed on
th
e
ind
o
o
r
requi
rem
e
n
t
type, col
o
r
scheme
i
s
recorded
ed a
t
the highest
coo
r
din
a
ted rate;
3)
Standard col
o
r ca
rd i
s
req
u
ired to con
s
traint col
o
r d
e
s
ign p
r
o
c
e
ss;
4)
The ne
w de
si
gn is ne
ede
d to update the
libra
ry of the prog
ram.
Categ
o
ry Sel
e
ct
colo
r te
nd
enci
e
s is in
Fi
gure
3.
The
o
retical f
r
ame
w
ork of
col
o
r d
e
sig
n
i
s
summ
ari
z
ed
above, col
o
r
categ
o
ry sch
e
memay be d
e
sig
ned, in compute
r-ai
d
e
d
desi
gn process,
para
m
eter m
odificatio
n
s a
r
e guid
ed by the de
sign
er o
r
use
r
self co
ordin
a
te de
si
gn.
Figure 3. Cat
egory Sele
ct colo
r tende
ncies
2.2. Color Space and Vice
Versa
C
u
rr
en
tly,
in
mo
s
t
us
e
o
f
co
lo
r
s
y
s
t
em, Mu
n
s
ell
color soli
d i
s
esta
blish
ed in
a
c
cordan
ce
with the HVC
three attrib
utes. The hu
e H is divided i
n
to 10 zo
ne
s, R, V, G,
B, PS are ba
se color,
the five intermediate
colo
rs a
r
e in
se
rte
d
, they are Y
R
, GY, BG, PB, and RP.
Brightne
ss
V is
divided into
n
numb
e
r of l
e
vels by g
r
ad
a
t
ion rul
e
from
black to
white
.
Saturation
C is divide
d
with
increa
sing int
e
rval, the col
o
r syste
m
laws a
r
e
in line
with the human eye col
o
r perce
ption, the
colo
r coo
r
din
a
tion is
pro
p
o
rtional i
n
th
e uniform co
lor spa
c
e, co
lor mo
del
co
nversi
on h
a
s a
certai
n map
p
i
ng rule
s.
2.3. Color Ha
rmon
y
Relati
onships
In additio
n
t
o
the
two
-
di
mensi
onal
color rel
a
tion
s, but al
so
seven
kind
s
of thre
e-
dimen
s
ion
a
l geomet
ric h
a
rmonic
relatio
n
shi
p
are p
r
e
s
ente
d
in the colo
r sp
ace [12].
1)
Vertical
re
co
ncile: the
sa
me hu
e with
purity,
ord
e
r
reco
ncil
e of th
e differe
nt bri
ghtne
ss, the
singl
e colo
r
t
h
ree
-
dim
e
n
s
i
onal non
-col
or
axi
s
with hue blendi
ng
is as
pa
rall
el
line
s
. Hue
pre
s
ent
s crisp and ref
r
e
s
hi
ng feeling.
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IJEECS
Vol.
2, No. 2, May 2016 : 461 –
468
464
2)
The i
nne
r
su
rface
recon
c
i
l
e: the
sam
e
hue
with
lig
htness, o
r
d
e
r of different
purity a
nd
compl
e
me
nta
r
ity of hue, th
e sa
me lig
htness, o
r
de
r reco
ncil
e with
different p
u
ri
ty. No col
o
r
axis is pa
sse
d
from the col
o
r soli
d ho
ri
zont. Tone sho
w
s a
steady a
nd calm
sen
s
e.
3)
Circumfe
ren
c
e recon
c
ile: the sam
e
bri
g
htness,
hue o
r
de
r re
con
c
ile
with the purit
y, no color
from the col
o
r stereo
outer
edge a
r
c to th
e cente
r
axis,
hue interval
choi
ce.
4)
Incline
d
inne
r su
rface re
concil
e: Accordi
ng to the
HVC p
u
rp
oses, a fixed o
r
bit of colo
r
sele
ction
i
s
required with 360-deg
ree
rotation
throu
gh the
ce
nter, ratio b
e
wee
n
fram
e an
d
colo
r is the complem
entary color pai
rs, lightne
ss a
n
d
purity relative cha
nge
s are remai
ned.
5)
The inn
e
r surface recon
c
ile in obliqu
e
cross:
the sa
me hue, diffe
rent pu
rity order recon
c
ile.
The up
pe
r an
d lower
riots
are o
n
conta
c
t point
of th
e col
o
r
sele
ct
ion orbit end
s, brig
htne
ss
cha
nge
s, the
recon
c
ile of
the sam
e
h
ue or
a si
milar hu
e, tone
s are comp
o
s
ed
with a
rhy
t
hmic.
6)
Spiral recon
c
ile: colo
r ste
r
eosco
pic
rely
on out
s
i
d
e
hig
h
c
o
lo
r
pu
r
i
ty, s
p
ir
a
l
tr
ack
is
ne
ar
ly
flat, the brig
h
t
ness
contrast cha
nge
s, th
e intr
o
d
u
c
tio
n
of the
de
si
red
col
o
r
co
mbination
is
introdu
ce
d in the spiral line
in an orde
rly and interval
manne
r.
7)
Oval re
co
ncil
e: it contai
ns all color ha
rm
ony of colo
r rin
g
, many
compl
e
me
nta
r
y col
o
r
pair
recon
c
ile wi
h the retaine
d
p
u
rity, color
ch
ange
s re
gula
r
ly and is more abun
dant.
2.4. Coordin
a
ting Color
Design
Rea
s
oning
Becau
s
e
of t
he
subj
ective
effects of
col
o
r, the
de
sig
n
re
aso
n
ing
is
with
sema
ntic-drive
n
feature
s
. Th
e colo
r sele
ction tra
c
k and the ma
i
n
theme of
the colo
r se
lection
rule
are
determi
ned.
Main col
o
r va
lue ca
n be de
comp
osed in
t
o
HVC Colo
r law qu
alitative requi
rem
e
n
t
s.
Based
on th
e
ratio, the
sel
e
cted
col
o
r
schem
e of th
ree attrib
utes i
s
dete
r
min
ed
according
to the
feedba
ck effect.
3. Function
a
l
Analy
s
is of
Computer-Aided Color Design
3.1. CAID
Co
lor Design M
e
thod
s
Tone
re
con
c
il
e and
colo
r schem
e de
sig
n
are
ce
nter i
n
whol
e color desig
n p
r
oce
ss, the
colo
r sch
e
me
is obtain
ed
by taking ton
e
, colo
r
sel
e
ction, a tone
harmo
nic filt
er, col
o
r d
e
si
gn
kno
w
le
dge b
a
se, auxilia
ry
Scheme
ana
logy pro
c
e
s
s of indoo
r env
ironm
ental fa
ctors, and th
en
colo
r co
nfigure is applie
d to the model. Finally
, the integrate
d
ca
se-related eval
uation metho
d
s
are
ap
plied
to evaluate
t
he
colo
r
de
signs. Am
ong
them, o
u
tp
ut or sto
r
a
g
e
a
r
e
don
e
fo
r
coo
r
din
a
ting
the de
sig
n
, i
n
orde
r to
prepare the
de
sign
ag
ain,
which
is simil
a
r to th
e
choi
ce.
Otherwise, the re
-retu
rn t
o
the initial state colo
r de
sign, re-de
s
i
gn. Informati
on flow
of CAID
colo
r de
sign
method is in
Figure 4.
Figure 4. Information flo
w
of CAID colo
r desig
n meth
ods
3.2. Tonal Harmonic Extr
action
In variou
s col
o
r mod
e
ls,
CEIUb ha
s the
wide
st col
o
r
gamut, incl
ud
ing all col
o
r
with RGB
and CMYK color gamut, when
th
ey
are conve
r
ting be
tw
een
differe
nt col
o
r m
ode
s, internal
col
o
r
mode i
s
use
d
, but its
col
o
r
spa
c
e
is
highly spe
c
ia
lized, and
i
s
is
difficult
ma
ster; RGB co
lor
gamut
can
b
e
co
ntaine
d
on a
com
put
er mo
nitor
or
TV screen,
whi
c
h
can
di
splay all
colo
rs, its
model
s can
save mem
o
ry and improv
e perfo
rma
n
ce, there is
g
r
eate
r
device
indepe
nde
n
c
e,
comp
uter-aid
ed a
r
chitectu
ral
colo
r i
s
made, it mu
st u
s
e the
RGB col
o
r
sp
ace,
CMYK
col
o
r
gamut i
s
na
rrower
and
contain
s
only
colo
rs that
can be
printe
d in u
s
ing
a
printing
ink,
it is
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Colo
r Mod
u
le
Com
puter Aided Desi
gn in
Indoor En
vironm
ent
(Lifen
g Pan)
465
suitabl
e for printed o
u
tpu
t. HSB model is base
d
o
n
human visual p
e
rcepti
on of colo
r, the
judgme
n
t is very dire
ct in the colo
r, colo
r sha
d
e
s
and
color cho
r
d , it is
better to meet peopl
e
pra
c
tice
requi
reme
nts i
n
co
lor d
e
si
gn, it i
s
the
be
st pl
a
tform for buil
d
ing
col
o
r
de
sign.
The
mai
n
use of HSB colo
r sp
ace is de
signe
d, the RGB,
HS
B
color s
p
a
c
e is ac
ce
ss
e
d
.
Relat
i
on
sh
ip
betwe
en colo
r model
s an
d gamut is in Fi
gure 5.
Figure 5. Rel
a
tionship bet
wee
n
col
o
r m
odel
s and g
a
mut
In Hceve
r
ul color sy
stem, the circu
m
fere
nce i
s
divied into the three
equal po
rtio
ns, red,
yellow an
d bl
ue is u
s
ed a
s
a prim
ary
colo
r, Be
twe
en them, the
second
ary color is m
a
tch
ed,
su
ch as oran
ge,
green, p
u
rple, alon
g whi
c
h
i
s
d
u
b
bed with
the
3-th colo
rs, such
a
s
red
a
n
d
oran
ge, o
r
an
ge a
nd yello
w, yellow an
d
gre
en, g
r
ee
n
and
blue,
blu
e
an
d violet,
violet and
pu
rple,
totaling ha
s 1
2
kind
s of div
i
ded colo
rs. T
he ce
nter
of t
he ci
rcl
e
is bl
ack, and b
e
twee
n the soli
d,
the ci
rcumferent is
divided
con
c
e
n
tri
c
all
y
into
20 ali
q
uots, it is extened
with th
e ce
nter to the
outsid
e
, the
black
com
p
o
nent i
s
g
r
ad
ually re
du
ce
d. Col
o
r
ha
rmony theo
ry
point
extraction
pro
c
e
ss i
s
in Figure 6.
Figure 6. Col
o
r ha
rmony theory poi
nt extraction p
r
o
c
ess
3.3 Compu
t
e
r
Express o
f
Tonal Harmo
n
ic Design
Metho
d
In com
pute
r
-aided
archite
c
tural
de
sig
n
,
colo
r o
u
tsi
de e
n
vironm
ent is a m
e
ans of
indu
strial d
e
sign metho
d
s,
this metho
d
a
llows
the sy
stem de
sign
ha
s be
com
e
a
multi-obj
ectiv
e
,
multi-pe
rcepti
on, multi-fact
or optimi
z
atio
n pro
c
e
s
s. Due to re
con
c
il
e theory an
d method
s in to
ne,
the inform
atio
n mostly expressed in
th
e
more
ob
scu
re
words, it is d
i
fficult to reco
ncile the
sco
pe
of control, so
for archite
c
t
u
ral color d
e
s
ign of
co
mp
uter su
ppo
rt, comp
uter-aid
ed color d
e
sign
pro
c
e
ss i
s
th
e pra
c
tical n
e
eds, color
harmony theory
has
di
scu
s
se
d, it is to build "building factor
- Environm
e
n
tal function
al division
- colo
r c
oordin
a
ted (h
arm
o
nic tone
s) -
Comp
uter Ai
ded
appli
c
ation
s
", theoretical framewor
k of the pro
c
e
s
s also involves t
he colo
r mod
u
le sub
s
yste
m -
desi
gn
and
o
p
timization
of
tone
re
co
ncil
e tool
s,
the
colo
r
schem
e
libra
ry i
s
p
r
o
posed
a
n
d
the
colo
r
ca
rd i
s
re
com
m
end
ed, the
man
ageme
n
t is
sup
p
leme
nte
d
by eval
uat
ion. Hi
era
r
ch
ical
theoreti
c
al fra
m
ewo
r
k is in
Figure 7.
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IJEECS
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468
466
Figure 7. Hierarchical theo
retical fram
ework
3.4. Color De
sign Applica
t
ion Model
Colo
r de
sign
method ba
se
d on tone col
o
r is a way to recon
c
ile the basi
c
col
o
r
system
and car F
r
ee
r colo
r ha
rmo
n
y theory, ba
sed o
n
t
he e
x
traction of coordi
nated d
e
sig
n
. It uses the
built environ
ment and a
pplication of
the ma
in b
a
ckgroun
d color an
d col
o
r man
agem
ent
relation
s, a
n
d
gen
erate
s
th
e u
s
er inte
rfa
c
e vi
s
uali
z
ati
on cycle
op
erati
on in
the
CAD envi
r
onm
ent
to obtain ba
si
c col
o
r ind
o
o
r
environm
ent modelin
g sch
e
me.
This a
pproa
ch tends to
cro
w
d the a
udie
n
ce th
rou
gh the investig
ation of indo
or
color, get
a sam
p
le of informatio
n, and then put t
he col
o
r
sche
me throu
gh reco
ncil
e met
hod
s. The co
lor
desi
gn, with t
he adva
n
ce setting wo
rd
s to de
scri
be th
e sem
antics
of desi
gn effe
cts, in the
CA
D
environ
ment
for sto
r
in
g an
d color sch
e
m
e lib
rary
co
nstantly u
pda
ted to the
ne
w p
r
og
ram
af
ter
gene
ration, y
ou
can
also d
r
aw on
a
simil
a
r d
e
si
gn.
Ind
oor E
n
vironm
ental Colo
r Desig
n
Stru
ctu
r
e
Model is Fi
gu
re 8.
Figure 8. Indoor Enviro
nm
ental Col
o
r Desig
n
Structu
r
e Mod
e
l
Primary
colo
r and a
se
con
dary colo
r to approximate
to recon
c
ile t
he rel
a
tion
shi
p
, and
other auxiliary
colo
r contrast
to re
con
c
ile
th
e
rel
a
tionship b
e
tween the
seconda
ry color fo
r
contrast
harmonic rel
a
tio
n
shi
p
s; b
o
th
prima
r
y color and
se
co
nd
ary color con
t
rast to
re
con
c
ile
the relation
sh
ip betwe
en th
e se
con
dary
colo
r fo
r the a
pproxim
ate h
a
rmo
n
ic relati
onship.
A
cco
rdi
ng t
o
v
a
riou
s col
o
r
ca
st
has it
s r
e
la
tively stable colo
r gamu
t, color ca
n b
e
used
to define the
sco
pe of th
e buildin
g, and co
rres
pon
ds to the bui
lding type. Hue match col
o
r
pro
c
e
ss i
s
in Figure 9.
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Colo
r Mod
u
le
Com
puter Aided Desi
gn in
Indoor En
vironm
ent
(Lifen
g Pan)
467
Figure 9 Hu
e match
colo
r p
r
ocess
3.5. Color Ha
rmon
y
Desig
n
Process
Semantic to
n
e
re
con
c
ile: t
o
re
con
c
ile t
he re
sult
s of
real
-time di
splay of colo
rs to aid
unde
rsta
ndin
g
of the voca
bulary in the form of tone
s comp
ared.
Harmoni
c
proportio
n
: seq
uen
ce
ca
n a
c
hieve
a
ce
rtain b
a
lan
c
e
effect. According to
a
ce
rtain
percenta
ge of
0.618 gamut
divided effect
t
here are ce
rtain rule
s to be found [13].
Press the
col
o
r a
r
ea to reconcil
e: With the incr
e
a
se o
r
de
cre
a
se in
the size of th
e colo
r,
the color will
also increa
se or decrease the
amount. Color design is usua
lly a large area of multi-
choi
ce cl
ea
r and high, low satu
ratio
n
, contra
st wea
k
col
o
rs,
bring
s
a bright, long-la
sting
harm
ony of comfort. Medi
um-sized mul
t
i-colo
r co
nt
rast mode
rate
. Such as col
o
r, the proxi
m
ity
and b
r
ightn
e
ss of ton
e
co
lor group
use
d
more
co
ntrast on, both
visual inte
re
st, and no over-
stimulation. S
m
all are
a
of the col
o
r u
s
e
d
fresh
co
lo
r a
nd strong
co
ntrast a
nd b
r
i
ght colo
rs, su
ch
as sm
all-scal
e
facilities, small
si
gns, et
c. The purpose i
s
notic
eable. Tonal harmoni
c
matching
method Flo
w
cha
r
t is in Fig
u
re 10.
Figure 10. To
nal harmoni
c
matchin
g
met
hod Flo
w
cha
r
t
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IJEECS
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468
468
4. Conclusio
n
Interior
de
sig
n
colo
r d
e
sig
n
is a very im
port
ant p
a
rt o
f
the focu
s of the desi
gn i
s
how to
obtain vivid colo
rs, in order to meet
t
he dual need
s of the people of physiol
ogical
and
psycholo
g
ical
. Given the i
m
porta
nce a
nd difficulty f
a
ctor color co
lor
studie
s
, re
sea
r
ch o
n
ind
oor
environ
menta
l
col
o
r de
sign
app
roa
c
h
is
alway
s
the
fo
cu
s of
attention of
de
sign
theori
s
ts.
The
s
i
s
colo
r de
sign
theory, resea
r
ch-ba
s
ed
com
pute
r
-a
ided de
sign
method of color in
do
or
environ
ment.
The con
c
ept
pape
r will be
introdu
ce
d
to
the
inte
rior col
o
r scheme desi
g
n
s
,
usi
ng
comp
uter-aid
ed d
e
si
gn p
r
oce
s
s, combi
ned
with
colo
r ha
rmo
n
y th
eory a
nd
met
hod
s a
pplied
to
c
o
ns
tr
uc
t a
n
e
ffe
c
t
ive
c
o
mp
u
t
e
r
-
a
ide
d
de
s
i
gn
in
te
r
i
or
c
o
lor
s
h
a
d
e
s
r
e
co
nc
ile
pr
oc
es
se
s
.
And on the functions to
achieve the
color
effect
of color-im
parting real
-sele
c
tion
analo
g
y, expandin
g
the use of the library's colo
r
sch
e
m
e to optimize the colo
r d
e
sig
n
interfa
c
e,
greatly imp
r
o
v
e the efficie
n
cy of de
sig
n
and verify
th
e feasi
b
ility of the cla
ssi
c
ca
se, to buil
d
a
good envi
r
on
ment and living spa
c
e p
r
o
v
ided importa
nt
ideas. Interior de
sign
ers can be fou
nd
so
that the desi
r
ed
colo
r de
sign g
oal
s, e
ffectively
improve the efficiency an
d a
c
curacy of
col
o
r
appli
c
ation
s
.
Comp
uter si
mulation of color, or a ne
w topi
c, no e
x
perien
c
e
ca
n be calle
d directly. As it
relate
s to q
u
a
n
tify color th
e
o
ry, there
are
m
any ide
a
s
and m
odel
s a
r
e p
r
op
osed
and u
s
e
d
for t
he
first time, the
r
e ne
ed
s to b
e
furthe
r imp
r
ovement
in t
heory, some
of the better i
dea
s limited t
o
the con
d
ition
s
ca
n not be
achi
eved.
Referen
ces
[1]
Curt C Braun, Paul B Mine,
N.Cla
yto
n
Silv
er.
T
he influe
nce of
color o
n
w
a
rni
ng l
abe
l perce
ptions
.
Internatio
na
l Journ
a
l of Indus
trial Ergo
no
mic
s
. 1995; (3).
[2]
S Sand
ers, Paul Carm
an. Co
lour, des
ig
n a
nd virtua
l rea
lit
y at JET
.
Opti
cs and L
a
ser
T
e
chno
logy
.
200
5; (4).
[3]
T
s
ai HC, Hun
g
CY, Hun
g
FK.
Comp
uter
aide
d pr
oduc
t color des
ig
n
w
i
th artificial
intell
ig
ence
.
Comp
uter-Aid
e
d
Desi
gn & Ap
plicati
ons. 2
0
0
7
.
[4]
Kenneth E Burchett. Color harmony
.
C
o
l
o
r R
e
searc
h
an
d Applic
atio
n
. 200
2
[5]
Giovan
ni Mo
retti, Paul
L
y
ons. T
ools
for
the
selecti
on of
color
pal
e
ttes [OL].
http://ColourHarmony
.ma
ssey
.
ac.nz 2002.
[6]
Paul
L
y
o
n
s, Giova
nni
Moretti
, Mark W
ilso
n
.
Colo
r
gro
u
p
selecti
o
n
for
computer
inter
f
aces [OL].
http://Colour Harmony
ma
ssey
ac nz 2002.
[7]
T
s
ai H C,Chou
JR. Automatic desig
n sup
por
t and imag
e e
v
alu
a
tion
of t
w
o-col
oure
d
pro
ducts usin
g
colo
ur associ
ation a
nd co
lour
harmo
n
y
sc
ale
s
and ge
netic a
l
gorit
hm.
Co
mp
uter Aide
d Des
i
gn
. 20
07.
[8]
Moon P, Sp
e
n
cer DE. Geo
m
etric formula
tion of class
i
c
a
l col
o
r harm
o
n
y
.
Jour
nal
o
f
the Optical
Society of America
. 194
4.
[9]
Moon P, S
p
e
n
c
er DE. Aesth
e
tic meas
ure
a
ppli
ed t
o
col
o
r
harmo
n
y
.
J
our
nal
of the Opti
cal Soc
i
ety o
f
Am
er
ica
. 19
44.
[10]
Moon P, Spe
n
c
er DE. Area in
color harm
o
n
y
.
Journal of the
Optical Societ
y of Americ
a
. 1944.
[11]
Dani
el C
ohe
n-
Or, Olga Sorkine, Ran Gal,
T
o
mmer Le
y
v
and, Yin
g
-Qin
g Xu. Color h
a
rmoniz
a
tio
n
.
ACM T
r
ansacti
ons on Grap
hic
s
. 2006
[12]
T
o
kumaru M, Muran
a
ka
N, Imanis
h
i S.
Co
lor d
e
si
gn s
u
p
port s
y
stem c
onsi
deri
ng c
o
l
o
r h
a
rmon
y
.
IEEE International Confer
ence on Fu
z
z
y
Syst
em
s
. 2
002
[13]
Che
ng H
D
, Ji
ang
XH, Sun
Y, et al.
Co
lor
imag
e se
g
m
e
n
tation:
adva
n
c
es an
d pr
osp
e
cts
. Pattern
Reco
gniti
on. 2
001
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