下面这个函数大家都不会陌生,计算zernike函数值的,并根据此可以还原出图像来, Ie8K[ >
我输入10阶的n、m,r,theta为38025*1向量,最后得到的z是29525*10阶的矩阵, 4%<D\#
这个,跟我们用zygo干涉仪直接拟合出的36项zernike系数,有何关系呢? ye| 2gH
那些系数是通过对29525*10阶的矩阵每列的值算出来的嘛? )>;387'Y
Cth<x n(Q
}UG<_bE|
.Lm`v0'w
Y)M-?|4
function z = zernfun(n,m,r,theta,nflag) vgr5j
%ZERNFUN Zernike functions of order N and frequency M on the unit circle. u (`7F(R
% Z = ZERNFUN(N,M,R,THETA) returns the Zernike functions of order N eYv+tjIF
% and angular frequency M, evaluated at positions (R,THETA) on the clIn}wQ
% unit circle. N is a vector of positive integers (including 0), and =knBwjeD
% M is a vector with the same number of elements as N. Each element qJXfc||Zg
% k of M must be a positive integer, with possible values M(k) = -N(k) iciRlx.$c
% to +N(k) in steps of 2. R is a vector of numbers between 0 and 1, Z/;8eb*B7
% and THETA is a vector of angles. R and THETA must have the same Imo?)dYK
% length. The output Z is a matrix with one column for every (N,M) (W9 K:]}
% pair, and one row for every (R,THETA) pair. 1}CJ&
% !~-@sq
% Z = ZERNFUN(N,M,R,THETA,'norm') returns the normalized Zernike mx2Ov u
% functions. The normalization factor sqrt((2-delta(m,0))*(n+1)/pi), `0R>r7f)H
% with delta(m,0) the Kronecker delta, is chosen so that the integral ,JJ1sf2A
% of (r * [Znm(r,theta)]^2) over the unit circle (from r=0 to r=1, AJP-7PPD
% and theta=0 to theta=2*pi) is unity. For the non-normalized of`WP
% polynomials, max(Znm(r=1,theta))=1 for all [n,m]. ,awkL
:
% u$ ^r(.EV
% The Zernike functions are an orthogonal basis on the unit circle. ~y ?v
% They are used in disciplines such as astronomy, optics, and m`@~ZIa?>B
% optometry to describe functions on a circular domain. C{V,=Fo^
% A5G@u}YS5
% The following table lists the first 15 Zernike functions. #}UI
% `3dGn.M
% n m Zernike function Normalization os+]ct
% -------------------------------------------------- Mo4igP
% 0 0 1 1 3E8 Gh>J_
% 1 1 r * cos(theta) 2 R~#&xfMd.
% 1 -1 r * sin(theta) 2 9}d^ll&
% 2 -2 r^2 * cos(2*theta) sqrt(6) qp/nWGj
% 2 0 (2*r^2 - 1) sqrt(3) asbFNJG{
% 2 2 r^2 * sin(2*theta) sqrt(6) 70nBC
% 3 -3 r^3 * cos(3*theta) sqrt(8) Wtflw>-
% 3 -1 (3*r^3 - 2*r) * cos(theta) sqrt(8) mxCqN1:#
% 3 1 (3*r^3 - 2*r) * sin(theta) sqrt(8) d ?,wEfwp
% 3 3 r^3 * sin(3*theta) sqrt(8) 1(Lq9hs`
% 4 -4 r^4 * cos(4*theta) sqrt(10) Oc/ i'
% 4 -2 (4*r^4 - 3*r^2) * cos(2*theta) sqrt(10) B)qcu'>iy
% 4 0 6*r^4 - 6*r^2 + 1 sqrt(5) nA+gqY6 6|
% 4 2 (4*r^4 - 3*r^2) * cos(2*theta) sqrt(10) byIP]7Ld
% 4 4 r^4 * sin(4*theta) sqrt(10) QU@CPME
% -------------------------------------------------- z+Ej`$E{lD
% 3+I"Dm,
% Example 1: k_ijVfI9
% x0q`Uc
% % Display the Zernike function Z(n=5,m=1) 0-Wv$o[
% x = -1:0.01:1; j<A; i
% [X,Y] = meshgrid(x,x); bX+"G}CRP
% [theta,r] = cart2pol(X,Y); :2;c@ uj
% idx = r<=1; Kr%O}<"
% z = nan(size(X)); m=MM
% z(idx) = zernfun(5,1,r(idx),theta(idx)); F\+!\b*lP
% figure !7Z?VEZ
% pcolor(x,x,z), shading interp ZV~9{E8
% axis square, colorbar F^7qr
% title('Zernike function Z_5^1(r,\theta)') M` |E)Y
% AH#Dk5#G
% Example 2: 3O?[Yhk`.
% 2| ERif;)
% % Display the first 10 Zernike functions D (">bR)1
% x = -1:0.01:1; oD%B'{Zs4
% [X,Y] = meshgrid(x,x); PE2O$:b\
% [theta,r] = cart2pol(X,Y); K1-y[pS]E
% idx = r<=1; <{k8 K6
% z = nan(size(X)); >jm^MS=
% n = [0 1 1 2 2 2 3 3 3 3]; $_
k:{?
% m = [0 -1 1 -2 0 2 -3 -1 1 3]; ajD/)9S
% Nplot = [4 10 12 16 18 20 22 24 26 28]; #!]~E@;E
% y = zernfun(n,m,r(idx),theta(idx)); 1K{hj%
% figure('Units','normalized') 6b h.5|
% for k = 1:10 B..> *Xb
% z(idx) = y(:,k); ]goPjfWvU"
% subplot(4,7,Nplot(k)) Yr 1k\q
% pcolor(x,x,z), shading interp 4,7W*mr3(
% set(gca,'XTick',[],'YTick',[])
m%i!;K"{s
% axis square x7c#kU2A&Z
% title(['Z_{' num2str(n(k)) '}^{' num2str(m(k)) '}']) A55F *d
% end !F#^Peb
% u S{WeL6%
% See also ZERNPOL, ZERNFUN2. ZG_iF#
42,K8
6Zq7O\
% Paul Fricker 11/13/2006 AF"XsEt.e
:&$WWv
{tF)%>\#
ZgL ]ex
a |0f B4G
% Check and prepare the inputs: L7$1 rO<
% ----------------------------- )|L#i2?:
if ( ~any(size(n)==1) ) || ( ~any(size(m)==1) ) Yq-7!
error('zernfun:NMvectors','N and M must be vectors.') QPp>%iE@
end 4Pr@<S"U
w:@W/e*9N
Ve\P ,.
if length(n)~=length(m) X6EnC57
error('zernfun:NMlength','N and M must be the same length.') #:}mi;{
end _l&.<nz
pL{:8Ed
NpF)|Ppb{
n = n(:); C 4hvk'=
m = m(:); .Wvg{ S-
if any(mod(n-m,2)) hrTl:\
error('zernfun:NMmultiplesof2', ... p (x<h
'All N and M must differ by multiples of 2 (including 0).') c$R<j'7
end txemu*
,M$J
yda
]YwvwmZ
if any(m>n) )r:gDd#/X
error('zernfun:MlessthanN', ... MGSD;Lgn
'Each M must be less than or equal to its corresponding N.') y_f^ dIK*=
end 7B#HF?,?
c:_dW;MJ0
9l:vVp7Uk
if any( r>1 | r<0 ) H4g1@[{|0O
error('zernfun:Rlessthan1','All R must be between 0 and 1.') yI_MYL[
end z]R)Bh
kaZ_ra;<
8Z(\iZ5Rgj
if ( ~any(size(r)==1) ) || ( ~any(size(theta)==1) ) wlfq$h p
error('zernfun:RTHvector','R and THETA must be vectors.') rb<9/z5-
end &3bh K5P
!jyy`q=
bDM;7fFp$
r = r(:); #=aT Sw X
theta = theta(:); PZO8<d
length_r = length(r); =fy'w3m
if length_r~=length(theta) F]`_ak E
error('zernfun:RTHlength', ... zr[|~-
'The number of R- and THETA-values must be equal.') $h8,QPy
end s f<NC>-
3\&I7o3V
CGJ>j}C
% Check normalization: L$
ZZ]?7j
% -------------------- 2U`g[1
if nargin==5 && ischar(nflag) P/doNv}iG
isnorm = strcmpi(nflag,'norm'); t Ai?B jo
if ~isnorm BZAF;j
error('zernfun:normalization','Unrecognized normalization flag.') X16r$~Pb
end }R2afTn[;
else udGZ%Mr_
isnorm = false; Ue2k^a*Ww
end <l"rn M%
TWTh!
"y$s`n4Mj
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 9:]|TIPi
% Compute the Zernike Polynomials 3pI)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +]jJ: V
8Xk,Nbcqt
pJPP6Be<
% Determine the required powers of r: ,S\AUUt%
% ----------------------------------- k{w
m_abs = abs(m); ]:F?k#c
rpowers = []; :ej`]yK |
for j = 1:length(n) *4RL
rpowers = [rpowers m_abs(j):2:n(j)]; ^fxS=Qs+
end <+)B8I^
rpowers = unique(rpowers); R:t
-JfO} DRI
!t+eJj
% Pre-compute the values of r raised to the required powers, C#D8
E.W
% and compile them in a matrix: >19j_[n@VC
% ----------------------------- gtw?u b
if rpowers(1)==0 (ixlFGvEq
rpowern = arrayfun(@(p)r.^p,rpowers(2:end),'UniformOutput',false); `*HM5 1U
rpowern = cat(2,rpowern{:}); a&s&6Q|Y
rpowern = [ones(length_r,1) rpowern]; [gxH,=Pb
else $SPA'63AC
rpowern = arrayfun(@(p)r.^p,rpowers,'UniformOutput',false); _/)HAw?k
rpowern = cat(2,rpowern{:}); G=qT{c8Q
end p28=l5y+
>'|Wrz67Z
n`2LGc[rP
% Compute the values of the polynomials: rWD*DmY@"
% -------------------------------------- V"R ,omh
y = zeros(length_r,length(n)); YKG}4{T
for j = 1:length(n) kCZxv"Ts
s = 0:(n(j)-m_abs(j))/2; *-.,QpgTX
pows = n(j):-2:m_abs(j); =Z}=n S?4
for k = length(s):-1:1 |;MW98 A
p = (1-2*mod(s(k),2))* ... f4r)g2Zb[
prod(2:(n(j)-s(k)))/ ... fT
prod(2:s(k))/ ... RoeLf Ow
prod(2:((n(j)-m_abs(j))/2-s(k)))/ ... sRDxa5<MD
prod(2:((n(j)+m_abs(j))/2-s(k))); #>\%7b59>
idx = (pows(k)==rpowers); B{\qYL/~
y(:,j) = y(:,j) + p*rpowern(:,idx); Y<9]7R(\;
end i!dQ
Sdf
UJhUb)}^
if isnorm El4SL'E@
y(:,j) = y(:,j)*sqrt((1+(m(j)~=0))*(n(j)+1)/pi); .[8g6:>
end P*.0kR1n
end I2^Eo5'
% END: Compute the Zernike Polynomials [3fmhc
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% }D7} %P]
(|U|>@
z{ MO~d9
% Compute the Zernike functions: ;LE9w^>^V
% ------------------------------ J\c\Ar:
idx_pos = m>0; W:* {7qJ
idx_neg = m<0; ry!0~ir
>^ijj`{d
=Xh*w
z = y; VAet!H +]
if any(idx_pos) e<1)KqG
z(:,idx_pos) = y(:,idx_pos).*sin(theta*m(idx_pos)'); %Tm8sQ)1
end xI(Y}>
if any(idx_neg) @'fWS^ ;&
z(:,idx_neg) = y(:,idx_neg).*cos(theta*m(idx_neg)'); rugR>&mea
end @w{"6xc%a
8KyF0r?
;/=6~%
% EOF zernfun i*2l4