i am new to matlab that the error is coming like that Error using segmentiris (line 18) Not enough input arguments.please send me answers how to fix the error

tic radial_res=150; angular_res=900; for i=1; for j=1; eyeimage_filename= [num2str(2) '\' num2str(i) '\' num2str(j) '.jpg']; eyeimage1 =imread(eyeimage_filename); savefile=[num2str(2)'\' num2str(i)'\' num2str(j)'-houghpara.m']; [circleiris circlepupil segimage] = segmentiris(eyeimage1); save('savefile','circleiris','circlepupil','segimage');

        %write noise image
        segimage2=uint8(segimage);
        imagewithcircles=uint8(eyeimage1);

        %get pixel coords for circle around iris
         [x,y] = circlecoords([circleiris(2),circleiris(1)],circleiris(3),size(eyeimage1));
         ind1=sub2ind(size(eyeimage1),double(y),double(x));

        %get pixel coords for circle around pupil

     [xp,yp] = circlecoords([circlepupil(2),circlepupil(1)],circlepupil(3),size(eyeimage1));
         ind2=sub2ind(size(eyeimage1),double(yp),double(xp));

         %write circles overlayed
         imagewithcircles(ind2)=255;
         imagewithcircles(ind1)=255;

         imwrite(imagewithcircles,[num2str(2)'\' num2str(i)'\' num2str(j) '-segmented.jpg'],'jpg');
         figure(1)
         imshow(imagewithcircles,[])
         pause

         %perform normalisation

         [polar_array] = normaliseiris(segimage, circleiris(2),...
    circleiris(1), circleiris(3), circlepupil(2), circlepupil(1), circlepupil(3),eyeimage1, radial_res, angular_res);

%write normalised pattern and noise pattern

imwrite(polar_array,[num2str(2) '\' num2str(i)'\' num2str(j)'-polar.jpg'],'jpg'); figure(2) imshow(polar-array,[]) pause h=imcrop(polar_array,[2.91935483870968 897.58064516129 90.3225806451613]); imwrite(h,[num2str(2) '\' num2str(i)'\' num2str(j)'-cropimage.jpg'],'jpg'); figure(3) imshow(h,[]) pause polar=histeq(h); f=fspecial('gaussian'); polar=imfilter(polar,f);

 imwrite(polar,[num2str(2) '\' num2str(i)'\' num2str(j)'-finalimage.jpg'],'jpg');
 figure(4)
 imshow(polar,[])
 pause
    end
end
toc
d=toc

         function [circleiris, circlepupil, segimage]= segmentiris(eyeimage)
 %define range of pupil & iris radii

 %ubiris
 lpupilradius = 5;
upupilradius = 20;
lirisradius = 30;
uirisradius = 60;

% define scaling factor to speed up Hough transform scaling = 0.4;

reflecthres = 240;

% find the iris boundary [row, col, r] = findcircle(eyeimage, 30,60, 0.4, 2, 0.31, 0.30, 1.00, 1.00);

circleiris = [row col r];

rowd = double(row); cold = double(col); rd = double(r);

irl = round(rowd-rd); iru = round(rowd+rd); icl = round(cold-rd); icu = round(cold+rd);

imgsize = size(eyeimage);

if irl < 1 irl = 1; end

if icl < 1 icl = 1; end

if iru > imgsize(1) iru = imgsize(1); end

if icu > imgsize(2) icu = imgsize(2); end

% to find the inner pupil, use just the region within the previously % detected iris boundary imagepupil = eyeimage( irl:iru,icl:icu);

%find pupil boundary [rowp, colp, r] = findcircle(imagepupil, 5,20 ,0.6,2,0.25,0.25,1.00,1.00);

rowp = double(rowp); colp = double(colp); r = double(r);

row = double(irl) + rowp; col = double(icl) + colp;

row = round(row); col = round(col);

circlepupil = [row col r];

% set up array for recording noise regions % noise pixels will have NaN values % imagewithnoise = double(eyeimage);

%find top eyelid topeyelid = imagepupil(1:(rowp-r),:); lines = findline(topeyelid);

if size(lines,1) > 0 [xl yl] = linecoords(lines, size(topeyelid)); yl = double(yl) + irl-1; xl = double(xl) + icl-1;

    yla = max(yl);

    y2 = 1:yla;

% ind3 = sub2ind(size(eyeimage),yl,xl); % imagewithnoise(ind3) = NaN;

% imagewithnoise(y2, xl) = NaN; end

%find bottom eyelid bottomeyelid = imagepupil((rowp+r):size(imagepupil,1),:); lines = findline(bottomeyelid);

if size(lines,1) > 0

    [xl yl] = linecoords(lines, size(bottomeyelid));
    yl = double(yl)+ irl+rowp+r-2;
    xl = double(xl) + icl-1;

    yla = min(yl);

    y2 = yla:size(eyeimage,1);

% ind4 = sub2ind(size(eyeimage),yl,xl); % imagewithnoise(ind4) = NaN; % imagewithnoise(y2, xl) = NaN; % end

% %For CASIA, eliminate eyelashes by thresholding % ref = eyeimage < 100; % coords = find(ref==1); % imagewithnoise(coords) = NaN;