How to do adaptive thresholding with the input as the ouput of morphological closing operation in the previous stage.

I need to pass the output of the morhological closing operation as input to local adaptive thresholding in the next stage.But if I do so, I get error like it could'nt accept this input image type. Can anyone please help me in writing the code to do the same. I have attached my

clc;

k = 0.04;
Threshold = 50000;
sigma = 1;
halfwid = sigma * 3;

[xx, yy] = meshgrid(-halfwid:halfwid, -halfwid:halfwid);

Gxy = exp(-(xx .^ 2 + yy .^ 2) / (2 * sigma ^ 2));

Gx = xx .* exp(-(xx .^ 2 + yy .^ 2) / (2 * sigma ^ 2));
Gy = yy .* exp(-(xx .^ 2 + yy .^ 2) / (2 * sigma ^ 2));

I = imread('Frame 0002.png');

numOfRows = size(I, 1);
numOfColumns = size(I, 2);

% 1) Compute x and y derivatives of image
Ix = conv2(Gx, I);
Iy = conv2(Gy, I);

%size(Ix)

% 2) Compute products of derivatives at every pixel
Ix2 = Ix .^ 2;
Iy2 = Iy .^ 2;
Ixy = Ix .* Iy;

% 3)Compute the sums of the products of derivatives at each pixel
Sx2 = conv2(Gxy, Ix2);
Sy2 = conv2(Gxy, Iy2);
Sxy = conv2(Gxy, Ixy);

im = zeros(numOfRows, numOfColumns);
for x=1:numOfRows,
   for y=1:numOfColumns,
       x,y
       % 4) Define at each pixel(x, y) the matrix H
       H = [Sx2(x, y) Sxy(x, y); Sxy(x, y) Sy2(x, y)];
       
       % 5) Compute the response of the detector at each pixel
       R = min(Sx2(x,y),Sy2(x,y));
       
       % 6) Threshold on value of R
       if (R > Threshold)
          im(x, y) = R; 
       end
   end
end

% 7) Compute nonmax suppression
output = im > imdilate(im, [1 1 1; 1 0 1; 1 1 1]);

figure, imshow(I);
figure, imshow(output);
%p=imread('Frame 0002.png');
se = strel('disk',20);
out=imdilate(output,se);
figure, imshow(out);
Ioc = imclose(output,se);
figure, imshow(Ioc);
T = adaptthresh(Ioc,0.4,'ForegroundPolarity','dark');
figure
imshow(T)
BW = imbinarize(Ioc,T);
figure
imshow(BW)

code here.

Answer 1

[Image Analyst]

In this line:

T = adaptthresh(Ioc,0.4,'ForegroundPolarity','dark');

Ioc is a logical (binary) image. It makes no sense whatsoever to do any kind of thresholding on a binary image. It's already BEEN thresholded.

Re-think your algorithm.

[ezhil K]

I'm sorry.Actually I need to apply the output of morphological operation on the adaptie thresholding output image.So,how should I do to intersect these two outputs?