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, J}x>~?W
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, Jn@Z8%B@Z
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? ^7i^ \w0
那些系数是通过对29525*10阶的矩阵每列的值算出来的嘛? 8!Wfd)4=,F
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function z = zernfun(n,m,r,theta,nflag) 8# 6\+R
%ZERNFUN Zernike functions of order N and frequency M on the unit circle. zt7_r`#z
% Z = ZERNFUN(N,M,R,THETA) returns the Zernike functions of order N 2~vo+ng
% and angular frequency M, evaluated at positions (R,THETA) on the K5P Gi#
% unit circle. N is a vector of positive integers (including 0), and }BA9Ka#%
% M is a vector with the same number of elements as N. Each element Z1VC5*K
% k of M must be a positive integer, with possible values M(k) = -N(k) q $t&|{
% to +N(k) in steps of 2. R is a vector of numbers between 0 and 1, zx
ct(
% and THETA is a vector of angles. R and THETA must have the same
[<_"`$sm=
% length. The output Z is a matrix with one column for every (N,M) S$S_nNq
% pair, and one row for every (R,THETA) pair. 4uFIpS|rq
% #0}Ok98P
% Z = ZERNFUN(N,M,R,THETA,'norm') returns the normalized Zernike CT|z[^
% functions. The normalization factor sqrt((2-delta(m,0))*(n+1)/pi), `2>XH:+7F
% with delta(m,0) the Kronecker delta, is chosen so that the integral fr8Xoa%1=
% of (r * [Znm(r,theta)]^2) over the unit circle (from r=0 to r=1, \BLp-B1s
% and theta=0 to theta=2*pi) is unity. For the non-normalized %,33gZzf
% polynomials, max(Znm(r=1,theta))=1 for all [n,m]. ]PeLcB
% )\8URc|J
% The Zernike functions are an orthogonal basis on the unit circle. _o\>V:IZ
% They are used in disciplines such as astronomy, optics, and g+e:@@ug
% optometry to describe functions on a circular domain. 5i|s>pD4z1
% )X7e$<SU*
% The following table lists the first 15 Zernike functions. I4rV5;f
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% `tX@8|
% n m Zernike function Normalization lco~X DI
% -------------------------------------------------- k69kv9v@J
% 0 0 1 1 $+7 ci~gs
% 1 1 r * cos(theta) 2 pfR"s:#
% 1 -1 r * sin(theta) 2 [w,(EE
% 2 -2 r^2 * cos(2*theta) sqrt(6) FH4u$g+
% 2 0 (2*r^2 - 1) sqrt(3) <} &7 a s
% 2 2 r^2 * sin(2*theta) sqrt(6) \xF;{}v
% 3 -3 r^3 * cos(3*theta) sqrt(8) q1H~
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% 3 -1 (3*r^3 - 2*r) * cos(theta) sqrt(8) :MK=h;5Z
% 3 1 (3*r^3 - 2*r) * sin(theta) sqrt(8) yDzdE;
% 3 3 r^3 * sin(3*theta) sqrt(8) %Nl`~Kz9U
% 4 -4 r^4 * cos(4*theta) sqrt(10) RV}GK
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% 4 -2 (4*r^4 - 3*r^2) * cos(2*theta) sqrt(10) r)Or\HL
% 4 0 6*r^4 - 6*r^2 + 1 sqrt(5) aQga3;S!
% 4 2 (4*r^4 - 3*r^2) * cos(2*theta) sqrt(10) h(_P9E[g
% 4 4 r^4 * sin(4*theta) sqrt(10) ` ovgWv
% -------------------------------------------------- yE}BfU { .
% [$^A@bqk
% Example 1: 10?qjjb&
% U{"f.Z:Ydo
% % Display the Zernike function Z(n=5,m=1) ?<!
nm&~
% x = -1:0.01:1; "@4ghot t
% [X,Y] = meshgrid(x,x); }~rcrm.
% [theta,r] = cart2pol(X,Y); {H+?z<BF<
% idx = r<=1; y86))
% z = nan(size(X)); m*`cuSU|o
% z(idx) = zernfun(5,1,r(idx),theta(idx)); GYd]5`ri
% figure -/zp&*0gcx
% pcolor(x,x,z), shading interp `%oIRuYG]j
% axis square, colorbar ^xt9pa$f
% title('Zernike function Z_5^1(r,\theta)') '[Xl>Z[
% Ssw&'B|o
% Example 2: xkM] J)C
% {8 N=WZ
% % Display the first 10 Zernike functions yQ'eu;+]
% x = -1:0.01:1; *!Y-!
% [X,Y] = meshgrid(x,x); eHUg-\dy
% [theta,r] = cart2pol(X,Y); ;Xyte
% idx = r<=1; , |l@j%
% z = nan(size(X)); 0Qp[\ia
% n = [0 1 1 2 2 2 3 3 3 3]; ./7v",#*.'
% m = [0 -1 1 -2 0 2 -3 -1 1 3]; gM#jA8gz
% Nplot = [4 10 12 16 18 20 22 24 26 28]; mL$f[
% y = zernfun(n,m,r(idx),theta(idx)); PyFj@n
% figure('Units','normalized') d/]|657u
% for k = 1:10 +}U2@03I
% z(idx) = y(:,k); ei|cD[
NY
% subplot(4,7,Nplot(k)) >fH*XP>(
% pcolor(x,x,z), shading interp nVXg,Jl
% set(gca,'XTick',[],'YTick',[]) 781]THY=
% axis square ddoFaQ8
% title(['Z_{' num2str(n(k)) '}^{' num2str(m(k)) '}']) O:e#!C8^
% end O#:&*Mv
% j=9ze op
%
% See also ZERNPOL, ZERNFUN2. e #M iaX
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% Paul Fricker 11/13/2006 {fU?idY)c
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% Check and prepare the inputs: ZdH1nX(Yh3
% ----------------------------- _B[WY
if ( ~any(size(n)==1) ) || ( ~any(size(m)==1) ) MwAJ(
error('zernfun:NMvectors','N and M must be vectors.') ^C7C$TZS
end aMJ;bQD
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if length(n)~=length(m) Y)Tl<
error('zernfun:NMlength','N and M must be the same length.') =X@o@1
end 0hwj\{"
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n = n(:); NR3`M?Hjf
m = m(:); smup,RNZRX
if any(mod(n-m,2)) k ZxW"2
error('zernfun:NMmultiplesof2', ... .S7:;%qL6
'All N and M must differ by multiples of 2 (including 0).') \$pkk6Q3,w
end "!KpXBc,>
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if any(m>n) 6Dst;:
error('zernfun:MlessthanN', ... 8r^ ~0nm
'Each M must be less than or equal to its corresponding N.') +EkW>$
end /oL8;:m
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if any( r>1 | r<0 ) ,@.EpbB
error('zernfun:Rlessthan1','All R must be between 0 and 1.') Mu2`ODe]
end Q9sl fQ
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if ( ~any(size(r)==1) ) || ( ~any(size(theta)==1) ) NY!jwb@%
error('zernfun:RTHvector','R and THETA must be vectors.') x8"#!Pw:`"
end @;Y~frT
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r = r(:); {rXs:N@
theta = theta(:); 8\Hr5FqB(
length_r = length(r); T)SbHp Y
if length_r~=length(theta) h{_*oBa
error('zernfun:RTHlength', ... F,T~\gO5,
'The number of R- and THETA-values must be equal.') :2y"3azxk
end ROdK8*jL
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% Check normalization: *e/K:k
% -------------------- &y\sL"YL!
if nargin==5 && ischar(nflag) -JV~[-,
isnorm = strcmpi(nflag,'norm'); ~uj;qq
if ~isnorm o2uj =Gnx
error('zernfun:normalization','Unrecognized normalization flag.') RU&_j*U
end Jpj!rXTX*
else qp~gP
isnorm = false; k;Fh4Hv
end X_?97iXjx
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% I1"MPx{
% Compute the Zernike Polynomials Em^(
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% CxF-Z7 '
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% Determine the required powers of r: .p&Yr%~
% ----------------------------------- BfmsMW
m_abs = abs(m); Qa`hR
rpowers = []; lMifpK
for j = 1:length(n) Q+$Tt7/
rpowers = [rpowers m_abs(j):2:n(j)]; <@uOCRbV
end ]%dnKP~
rpowers = unique(rpowers); 23ze/;6%A
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% Pre-compute the values of r raised to the required powers, %fjuG
% and compile them in a matrix: ${hz e<g
% ----------------------------- Tg
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if rpowers(1)==0 Vpp&