package box count for a satellite image

Hello. I tried to use the code of boxcount that I took on the package of matlab in a satellite image, but said that i need to input arguments. My image is in the tiff format.

First I used this code to call the image:

c = imread("B2.tif");
imagesc(c)
colormap gray
axis square

%After I tried to use the code of boxcount:
boxcount(c)

%And said that:
Undefined function 'boxcount' for input arguments of type 'double'.

Error in untitled (line 6)
boxcount(c)

%BOXCOUNT  Box-Counting of a D-dimensional array (with D=1,2,3).
%   [N, R] = BOXCOUNT(C), where C is a D-dimensional array (with D=1,2,3),
%   counts the number N of D-dimensional boxes of size R needed to cover
%   the nonzero elements of C. The box sizes are powers of two, i.e., 
%   R = 1, 2, 4 ... 2^P, where P is the smallest integer such that
%   MAX(SIZE(C)) <= 2^P. If the sizes of C over each dimension are smaller
%   than 2^P, C is padded with zeros to size 2^P over each dimension (e.g.,
%   a 320-by-200 image is padded to 512-by-512). The output vectors N and R
%   are of size P+1. For a RGB color image (m-by-n-by-3 array), a summation
%   over the 3 RGB planes is done first.
%
%   The Box-counting method is useful to determine fractal properties of a
%   1D segment, a 2D image or a 3D array. If C is a fractal set, with
%   fractal dimension DF < D, then N scales as R^(-DF). DF is known as the
%   Minkowski-Bouligand dimension, or Kolmogorov capacity, or Kolmogorov
%   dimension, or simply box-counting dimension.
%
%   BOXCOUNT(C,'plot') also shows the log-log plot of N as a function of R
%   (if no output argument, this option is selected by default).
%
%   BOXCOUNT(C,'slope') also shows the semi-log plot of the local slope
%   DF = - dlnN/dlnR as a function of R. If DF is contant in a certain
%   range of R, then DF is the fractal dimension of the set C. The
%   derivative is computed as a 2nd order finite difference (see GRADIENT).
%
%   The execution time depends on the sizes of C. It is fastest for powers
%   of two over each dimension.
%
%   Examples:
%
%      % Plots the box-count of a vector containing randomly-distributed
%      % 0 and 1. This set is not fractal: one has N = R^-2 at large R,
%      % and N = cste at small R.
%      c = (rand(1,2048)<0.2);
%      boxcount(c);
%
%      % Plots the box-count and the fractal dimension of a 2D fractal set
%      % of size 512^2 (obtained by RANDCANTOR), with fractal dimension
%      % DF = 2 + log(P) / log(2) = 1.68 (with P=0.8).
%      c = randcantor(0.8, 512, 2);
%      boxcount(c);
%      figure, boxcount(c, 'slope');
%
%   F. Moisy
%   Revision: 2.10,  Date: 2008/07/09


% History:
% 2006/11/22: v2.00, joined into a single file boxcountn (n=1,2,3).
% 2008/07/09: v2.10, minor improvements

% control input argument
narginchk(1,2);

% check for true color image (m-by-n-by-3 array)
if ndims(c)==3
    if size(c,3)==3 && size(c,1)>=8 && size(c,2)>=8
        c = sum(c,3);
    end
end

warning off
c = logical(squeeze(c));
warning on

dim = ndims(c); % dim is 2 for a vector or a matrix, 3 for a cube
if dim>3
    error('Maximum dimension is 3.');
end

% transpose the vector to a 1-by-n vector
if length(c)==numel(c)
    dim=1;
    if size(c,1)~=1   
        c = c';
    end   
end

width = max(size(c));    % largest size of the box
p = log(width)/log(2);   % nbre of generations

% remap the array if the sizes are not all equal,
% or if they are not power of two
% (this slows down the computation!)
if p~=round(p) || any(size(c)~=width)
    p = ceil(p);
    width = 2^p;
    switch dim
        case 1
            mz = zeros(1,width);
            mz(1:length(c)) = c;
            c = mz;
        case 2
            mz = zeros(width, width);
            mz(1:size(c,1), 1:size(c,2)) = c;
            c = mz;
        case 3
            mz = zeros(width, width, width);
            mz(1:size(c,1), 1:size(c,2), 1:size(c,3)) = c;
            c = mz;            
    end
end

n=zeros(1,p+1); % pre-allocate the number of box of size r

switch dim

    case 1        %------------------- 1D boxcount ---------------------%

        n(p+1) = sum(c);
        for g=(p-1):-1:0
            siz = 2^(p-g);
            siz2 = round(siz/2);
            for i=1:siz:(width-siz+1)
                c(i) = ( c(i) || c(i+siz2));
            end
            n(g+1) = sum(c(1:siz:(width-siz+1)));
        end

    case 2         %------------------- 2D boxcount ---------------------%

        n(p+1) = sum(c(:));
        for g=(p-1):-1:0
            siz = 2^(p-g);
            siz2 = round(siz/2);
            for i=1:siz:(width-siz+1)
                for j=1:siz:(width-siz+1)
                    c(i,j) = ( c(i,j) || c(i+siz2,j) || c(i,j+siz2) || c(i+siz2,j+siz2) );
                end
            end
            n(g+1) = sum(sum(c(1:siz:(width-siz+1),1:siz:(width-siz+1))));
        end

    case 3         %------------------- 3D boxcount ---------------------%

        n(p+1) = sum(c(:));
        for g=(p-1):-1:0
            siz = 2^(p-g);
            siz2 = round(siz/2);
            for i=1:siz:(width-siz+1)
                for j=1:siz:(width-siz+1)
                    for k=1:siz:(width-siz+1)
                        c(i,j,k)=( c(i,j,k) || c(i+siz2,j,k) || c(i,j+siz2,k) ...
                            || c(i+siz2,j+siz2,k) || c(i,j,k+siz2) || c(i+siz2,j,k+siz2) ...
                            || c(i,j+siz2,k+siz2) || c(i+siz2,j+siz2,k+siz2));
                    end
                end
            end
            n(g+1) = sum(sum(sum(c(1:siz:(width-siz+1),1:siz:(width-siz+1),1:siz:(width-siz+1)))));
        end

end
n = n(end:-1:1);
r = 2.^(0:p); % box size (1, 2, 4, 8...)

if any(strncmpi(varargin,'slope',1))
    s=-gradient(log(n))./gradient(log(r));
    semilogx(r, s, 's-');
    ylim([0 dim]);
    xlabel('r, box size'); ylabel('- d ln n / d ln r, local dimension');
    title([num2str(dim) 'D box-count']);
elseif nargout==0 || any(strncmpi(varargin,'plot',1))
    loglog(r,n,'s-');
    xlabel('r, box size'); ylabel('n(r), number of boxes');
    title([num2str(dim) 'D box-count']);
end
if nargout==0
    clear r n
end