getting cell contents reference from non cell object error for following code

if (length(A) < sArea || length(B) < sArea) || ncut > sNcut
    Seg{1}   = Seg{i}; %#ok<NASGU>
    Id{1}   = id;   %#ok<NASGU> % for debugging
    Ncut{1} = ncut; %#ok<NASGU> % for duebugging
    return;
end

getting error

??? Cell contents reference from a non-cell array object.

What is the solution

Error in ==> Nc at 74 Seg{1} = Seg{i}; %#ok<NASGU>

[ES]

What is in seg{}? Can you please add the whole function or something?

[Poonam]

function [Inc Knc] = Nc(I,SI,SX,r,sNcut,sArea)
%%ncutImageSegment
[nRow, nCol,c] = size(I);                  % Changes
N = nRow * nCol;
V = reshape(I, N, c);                      % connect up-to-down way. Vertices of Graph
%%ncutComputeW                            
W = sparse(N,N);                           % Step 1. Compute weight matrix W, and D
F = reshape(I, N, 1, c);                   % col vector % Spatial Location
X = cat(3, repmat((1:nRow)', 1, nCol), repmat((1:nCol), nRow, 1));
X = reshape(X, N, 1, 2);                   % col vector

for ic=1:nCol                              % Future Work: Reduce computation to half. It can be done because W is symmetric mat
    for ir=1:nRow                          % matlab tricks for fast computation (Avoid 'for' loops as much as possible, instead use repmat.)

          % This range satisfies |X(i) - X(j)| <= r (block distance)
          jc = (ic - floor(r)) : (ic + floor(r)); % vector
          jr = ((ir - floor(r)) :(ir + floor(r)))';
          jc = jc(jc >= 1 & jc <= nCol);
          jr = jr(jr >= 1 & jr <= nRow);
          jN = length(jc) * length(jr); %#ok<NASGU>

          % index at vertex. V(i)
          i = ir + (ic - 1) * nRow;
          j = repmat(jr, 1, length(jc)) + repmat((jc -1) * nRow, length(jr), 1);
          j = reshape(j, length(jc) * length(jr), 1); % a col vector

          % spatial location distance (disimilarity)
          XJ = X(j, 1, :);
          XI = repmat(X(i, 1, :), length(j), 1);
          DX = XI - XJ;
          DX = sum(abs(DX), 3); % squared euclid distance

          % |X(i) - X(j)| <= r (already satisfied if block distance measurement)
          constraint = find(sqrt(DX) <= r);
          j = j(constraint);
          DX = DX(constraint);

          % feature vector disimilarity
          FJ = F(j, 1, :);
          FI = repmat(F(i, 1, :), length(j), 1);
          DF = FI - FJ;
          DF = sum(abs(DF), 3); % squared euclid distance ( DF = sum(abs(DF), 3); % block distance)
          W(i, j) = exp(-DF / (SI*SI)) .* exp(-DX / (SX*SX));
      end
  end

%%ncutPartition
* *Seg = (1:N)';                             % Step 5. recursively repartition* *
id = 'ROOT';                              % the first segment has whole nodes. [1 2 3 ... N]'
% Compute D
N = length(W);
d = sum(W, 2);
D = spdiags(d, 0, N, N); % diagonal matrix
% Step 2 and 3. Solve generalized eigensystem (D -W)*S = S*D*U (12).
warning off; %#ok<WNOFF> % let me stop warning
[U,S] = eigs(D-W, D, 2, 'lm'); %#ok<NASGU>
% 2nd smallest (1st smallest has all same value elements, and useless)
U2 = U(:, 2);
% Bipartition the graph at point that Ncut is minimized.
t = mean(U2);
t = fminsearch('NcutValue', t, [], U2, W, D);
A = find(U2 > t);
B = find(U2 <= t);
% Step 4. Decide if the current partition should be divided
x = (U2 > t);
x = (2 * x) - 1;
d = diag(D);
k = sum(d(x > 0)) / sum(d);
b = k / (1 - k);
y = (1 + x) - b * (1 - x);
ncut = (y' * (D - W) * y) / ( y' * D * y );
%%iteration
if (length(A) < sArea || length(B) < sArea) || ncut > sNcut
    Seg{1}   = Seg{i}; %#ok<NASGU>
    Id{1}   = id;   %#ok<NASGU> % for debugging
    Ncut{1} = ncut; %#ok<NASGU> % for duebugging
    return;
end
% Seg segments of A
[SegA IdA NcutA] = NcutPartition(Seg(A), W(A, A), sNcut, sArea, [id '-A']);
% Seg segments of B
[SegB IdB NcutB] = NcutPartition(Seg(B), W(B, B), sNcut, sArea, [id '-B']);
% concatenate cell arrays
Seg  = [SegA SegB];
Id   = [IdA IdB]; %#ok<NASGU>
Ncut = [NcutA NcutB]; %#ok<NASGU>
%%show
Inc  = zeros(size(I),'uint8');
for k=1:length(Seg)
 [r, c] = ind2sub(size(I),Seg{k});
 for i=1:length(r)
 Inc(r(i),c(i),1:3) = uint8(round(mean(V(Seg{k}, :))));
 end
end
Knc = length(Seg);

end

This is the function

Answer 1

[Image Analyst]

Seg is just a regular numerical array, NOT a cell array. You created it like this:

Seg = (1:N)';

So you need to refer to it like this Seg(index), NOT like this Seg{index}. Braces are used for cells while parentheses are used for arrays. Please see the FAQ on cells: http://matlab.wikia.com/wiki/FAQ#What_is_a_cell_array.3F

[Poonam]

now getting this following error

Error in ==> Nc at 3

[nRow, nCol,c] = size(I); % Changes

??? Output argument "Inc" (and maybe others) not assigned during call to

[Image Analyst]

You redefined size(), didn't you? What does this say

>> which -all size

or just before that line of code, put this

whos size

You have a size variable or function that it's using that is not the built-in size() function.