# Fitting spline to outline

조회 수: 17(최근 30일)
John Fullerton 7 Aug 2019
답변: Pujitha Narra 19 Aug 2019
I have been trying to write a code (shown below) that will identify the outline of an object and then fit a spline to it.
I can identify the edge (using a ball for example below, image 1), but it picks up multiple points around the edge for each x and y value (image 2). So, I've tried to clean it up be removing some of the points.
However, the final spline doubles back on itself (image 4). How do I stop that from happening and just plot a smooth line connecting all the points?
% Get outline
BW = edge(Image, 'Canny', 0.6);
B = bwboundaries(BW);
J = num2cell(cell2mat(B),1);
F(:,1) = J{1,1};
F(:,2) = J{1,2};
%Show image and outline points
figure
imshow(I)
hold on
scatter(F(:,1),F(:,2), 'r0')
%Reduce number of points
for q = 20:20:(numel(F)/2)
F1((q/20),:) = F(q,:);
end
% Fit spline
x = F1(:,1);
y = F1(:,2);
pointspline = [x'; y'];
values = cscvn(pointspline);
sp = fn2fm(values,'B-')
%Show reduced points and spline
figure
scatter(F1(:,1),F1(:,2), 'r')
hold on
fnplt(sp)
1. 2. 3. 4. #### 댓글 수: 1

darova 8 Aug 2019
If the curve double back can you just use a half of data?
%Reduce number of points
% for q = 20:20:(numel(F)/2)
% F1((q/20),:) = F(q,:);
% end
% can be written as:
F1 = F(1:20:end/2,:);

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### 답변(1개)

Pujitha Narra 19 Aug 2019
Hi John,
There is a similar example here:
Hope this helps.

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