Sampling nodes equally to cover all the environment

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mohammed alany 2019-7-28

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/473824-sampling-nodes-equally-to-cover-all-the-environment

评论： mohammed alany 2019-7-30

采纳的回答： Walter Roberson

if i have this binary image, and i would like to distributed nodes in

the white area, which is the best way can distributed nodes to cover all the environments equally?

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Walter Roberson 2019-7-28

As a first attempt, you could find() the row, column positions of all of the white pixels. Arrange as row column pairs as rows [r1 c1; r2 c2; ...]. Now kmeans requesting 50 clusters.

mohammed alany 2019-7-28

在 MATLAB Online 中打开

i am new in matlab

i perform this, how i can use kmeans now please?

map = imread('C:\Users\mrh\Desktop\a1.jpg');
BW = im2bw(map)
[y, x] = find(map)
c = [x, y] 

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采纳的回答

Walter Roberson 2019-7-30

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/473824-sampling-nodes-equally-to-cover-all-the-environment#answer_385348

在 MATLAB Online 中打开

NC = 50;
map = imread('unifor.png');
BW = im2bw(map);
[y, x] = find(BW);
c = [x, y];
initpos = c(randperm(size(c,1),NC),:);
[idx,cents] = kmeans(c, NC, 'maxiter', 500, 'start', initpos);
ddd = squareform(pdist(cents));
ddd(1:(NC+1):end) = inf;
image(BW);
colormap(gray(2));
N = string(1 : NC);
hold on
scatter(cents(:,1), cents(:,2));
text(cents(:,1), cents(:,2), N);
hold off

You might notice some points at the bottom of the image. That white stripe along the bottom is part of the original image, and so distributing equally in the white portion requires placing some points in that white stripe.