2D / 3D Interpolation (Linear or Spline ) for image - Matlab

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Alina tom 2018-5-5

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评论： Alina tom 2018-5-17

Hi all

I have a image (Given Below) it is a 3d image have size 512x271x512 . I want to apply interpolation on the missing part.

I want to apply interpolation on that image to fill the gap and after it I have to calculate the edge points of the image like this

and want to get the edge of the surface like shown in output image

can anyone please guide me . how I can do this . Thanks in advance for your help

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Alina tom 2018-5-15

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I have converted the image into binary and then cut the image from middle into upper and lower part and try to find the 1st non zero element and then fill the previous part with white pixels . but its not working . can you please see my code where I'm doing wrong

if true
  Kmedian = imgaussfilt(Img1,[1 1]);
[counts,x] = imhist(Kmedian,16);
T = otsuthresh(counts); 
BW = imbinarize(Img1,T);
[rows, columns, numberOfColorChannels] = size(BW);
middleRow = floor(rows/2);
topHalf = BW(1:middleRow, :,:);
bottomHalf = BW(1+middleRow:end, :,:);
filterImg = bwareaopen(bottomHalf,25);
output_img = zeros(size(bottomHalf));
for col  = 1: size(bottomHalf,2)
  first_nnz_row = find(filterImg(:,col),1,'first');
  output_img(first_nnz_row:end,col) = 1;
end
figure, imshow(squeeze(output_img(:,:,S,:)));
filterImg = bwareaopen(topHalf,25);
output_img1 = zeros(size(topHalf));
for col  = 1: size(topHalf,2)
  first_nnz_row1 = find(filterImg(:,col),1,'last');
  output_img1(1:first_nnz_row1,col) = 1;
end
figure, imshow(squeeze(output_img1(:,:,S,:)));
end

Alina tom 2018-5-17

编辑：Alina tom 2018-5-17

Sir can you guide how I can fuse/ combine two 3d images to one . i'm using imfuse . it work on 2d images but don't know how to combine 3d images . one image is 2d and 2nd image is 3d . its gives the error of dimensions

Alina tom 2018-5-17

Sir can you guide me how I fuse/ combine two images . one image is 2d having dimensions 512x271 and other image is 3d having dimensions 512x271x512. I want to combine them to make one image . the output image have size 512x271x512

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