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How to close the boundary of a surface already generated by filling the holes

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M.S. Khan
M.S. Khan on 16 Aug 2019
Commented: M.S. Khan on 18 Sep 2019
from give matrix (attached), i am using following code to close the surface and to make a boundary but i am getting errors that indexing is out of bound.
m = zeros(28)
m = load('Matrix_Boundary_fills_3s_only.txt');
[rows, colms] = size(m);
mOut = m;
for row = 2 : rows
for colm = 1:colms
if m(row-1, colm) == 3
mOut(row, colm+1) = 3;
if m(row-1, colm) == 3 || m(row-1,colm+2) == 3
mOut(row, colm+1) = 3;
if m(row-1, colm + 1) == 3
mOut(row, colm+1) = 3;
% end
thanks for all cooperation in advance.

Accepted Answer

Image Analyst
Image Analyst on 16 Aug 2019
Edited: Image Analyst on 16 Aug 2019
Is the data (circle) expected to be convex? If so the ultra-easy way is to just use bwconvhull() followed by bwboundaries(), poly2mask(), and bwperim() like the code below. If not, you'll have to follow my answer to your other question where I tell you how to connect each endpoint to the closest other endpoint.
% Get and display original data.
[numbers, strings, raw] = xlsread('matrix.xlsx');
m = uint8(numbers);
subplot(2, 2, 1);
imshow(m, [], 'InitialMagnification', 800);
axis('on', 'image');
title('Original Data', 'FontSize', 20);
% Get convex hull.
chImage = bwconvhull(m);
subplot(2, 2, 2);
imshow(chImage, [], 'InitialMagnification', 800);
axis('on', 'image');
boundary = bwboundaries(chImage);
boundary = boundary{1}; % Extract the outermost boundary from the cell.
x = boundary(:, 2);
y = boundary(:, 1);
title('Convex Hull', 'FontSize', 20);
% Show results.
subplot(2, 2, 3);
imshow(m, [], 'InitialMagnification', 800);
axis('on', 'image');
hold on;
plot(x, y, 'r.-', 'LineWidth', 2, 'MarkerSize', 15);
title('Original Data with Boundary Overlaid', 'FontSize', 20);
% Get the perimeter
[rows, columns] = size(m);
mask = poly2mask(x, y, rows, columns); % Create a solid mask.
% Get the perimeter only.
perimImage = bwperim(mask);
% Show results.
subplot(2, 2, 4);
imshow(perimImage, [], 'InitialMagnification', 800);
axis('on', 'image');
title('New, Convex Perimeter', 'FontSize', 20);
% Set up figure properties:
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0, 0.04, 1, 0.96]);
% Get rid of tool bar and pulldown menus that are along top of figure.
% set(gcf, 'Toolbar', 'none', 'Menu', 'none');
% Give a name to the title bar.
set(gcf, 'Name', 'Demo by ImageAnalyst', 'NumberTitle', 'Off')
If you don't want the x,y coordinates and only want the matrix, you can skip calling bwboundaries() and just call bwperim() directly on the convex hull image.
perimImage = bwperim(chImage);

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More Answers (2)

Bruno Luong
Bruno Luong on 18 Aug 2019
Edited: Bruno Luong on 23 Aug 2019
Add the salt to suit your need
Aorg = xlsread('Y_slice.xlsx');
gapmax = 5; % adjust to your need
[m,n] = size(Aorg);
A = Aorg>0;
P=[1 2 3;
8 0 4;
7 6 5];
Apad = zeros(m+2,n+2);
Apad(2:end-1,2:end-1) = A;
B = zeros(m,n,8);
for k=1:8
[i,j] = find(P==k);
B(:,:,k) = Apad(i-2+(2:end-1),j-2+(2:end-1));
As = A & sum(diff(B(:,:,[1:8 1]),1,3)==1,3)<=1;
[y,x] = find(As);
p = length(x);
xy = [x,y];
xy1 = reshape(xy,1,[],2);
xy2 = reshape(xy,[],1,2);
d = sum(abs(xy1-xy2),3);
d(d==0) = NaN;
i = (1:size(d,1))';
[dmin,j] = min(d,[],2);
keep = dmin <= gapmax;
keep = keep & j<i;
i = i(keep);
j = j(keep);
for k=1:length(i)
xyi = xy(i(k),:);
xyj = xy(j(k),:);
dxy = xyi-xyj;
if abs(dxy(1)) > abs(dxy(2))
xr = linspace(xyi(1),xyj(1),abs(dxy(1))+1);
yr = round(interp1([xyi(1),xyj(1)],[xyi(2),xyj(2)],xr));
yr = linspace(xyi(2),xyj(2),abs(dxy(2))+1);
xr = round(interp1([xyi(2),xyj(2)],[xyi(1),xyj(1)],yr));
A(sub2ind(size(A),yr,xr)) = 1;
close all
title('filling gap');
M.S. Khan
M.S. Khan on 18 Sep 2019
yes i am using imfill() functions but i want then to differentiate between boundary and interor.
For example interior is filled as 2s and boundary as 1s or 3s.
i want the interior as filled with 2s to be different color.
Boundary filled with1s and 3s as a different color
Exterior can be any other different color.
Thanks for cooperation

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Bruno Luong
Bruno Luong on 17 Aug 2019
You can use imclose (image processing toolbox required)
M.S. Khan
M.S. Khan on 23 Aug 2019
Hi Image Analyst and all community members,
thanks for all support and professional cooperation.
May i ask you two questions
Q1: in the 3rd pic, there are 2 whits dots. how can we can we remove it
Q2: in the X-axis & Y -axis, how can we change the scalling of our own choice.
Thanks for all your help in advance.

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