Interpolation of angular data spline or linear?
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I have a binary image. in which i have different data points on different locations. I want to apply interpolation techniques between those points. can anyone help me how i can apply interpolation on angular data points . input image is attached.
The out put is something like the below image
4 个评论
John D'Errico
2019-1-1
What is different form this question to the last one you asked with the same goals? Except of course that you must not have gotten an answer that you liked on the last one?
Alina tom
2019-1-1
John D'Errico
2019-1-1
Then why not just clarify your last question? Your approach is to just keep asking the same question until you hope someone gives you an answer.
Alina tom
2019-1-1
采纳的回答
Akira Agata
2019-1-2
One possible solution would be looks like this. In addition, if you feel @Image Analyst's answer for your previous question useful, I (...and Image Analyst-san) would be happy if you could accept it.
% Load the image
I = imread('3.jpg');
% Binarize and apply ultimate erosion
BW = imbinarize(rgb2gray(I));
BW = imclearborder(BW);
BW = bwulterode(BW);
% Find (x,y) coordinates
[row,col] = find(BW);
% Arrange the coordinates to circular order
theta = atan2(row-mean(row),col-mean(col));
data = table(row,col,theta);
data = sortrows(data,'theta');
data = [data;data(1,:)];
data.theta(end) = data.theta(end)+2*pi;
% Apply spline interpolation
n = 1:height(data);
pp = spline(n,[data.col';data.row']);
xy = ppval(pp,linspace(1,height(data)));
% Visualize the result
figure
imshow(I)
hold on
scatter(col,row,'rx')
plot(xy(1,:),xy(2,:),'r-')
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