# simplest adaptive thresholding custom code

7 views (last 30 days)
Matpar on 30 Jun 2019
Commented: Matpar on 1 Jul 2019
Hi all,
I got this far with the adaptive thresholding, Can a professional explain my errors please?
i am trying to do an adaptive thresholding via (Custom For Loop)manual coding!!
I am not sure if this can work! need a break down of what should happen please!!
[row col]=size(x);
for i=1:1:n
for j=1:n
x = i - n/2;
y = j - n/2;
j(i,j) = exp(-(x*x)/two_sigma_sq);
end
end
end

KALYAN ACHARJYA on 30 Jun 2019
adaptive thresholding menas, the threshold value is not fixed, its depends on image or input data
In the first view, This code is messed. As you defined j=1:n, here j is scalar, also j(i,j)>> Here j >> representing vector. I didnot find any statement, which relate to calculate the threshold value or replacing vector elements based the threshold.
some_vector(i,j)=exp(-(x*x)/two_sigma_sq);
This statement finding the each element of 2D vector/matrix
Matpar on 1 Jul 2019
Hi @ Image Analysis,
Can you help me understand this Error Please?
Error using images.internal.imageDisplayValidateParams>validateCData (line 119)
If input is logical (binary), it must be two-dimensional.
Error in images.internal.imageDisplayValidateParams (line 27)
common_args.CData = validateCData(common_args.CData,image_type);
Error in images.internal.imageDisplayParseInputs (line 78)
common_args = images.internal.imageDisplayValidateParams(common_args);
Error in imshow (line 246)
images.internal.imageDisplayParseInputs({'Parent','Border','Reduce'},preparsed_varargin{:});

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