Does anyone know how to use the matlab to calculate the minimu distance between a point outside oval and the oval surface?

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Does anyone know how to use the matlab to calculate the minimu distance between a point outside oval and the oval surface?
  3 件のコメント
Image Analyst
Image Analyst 2020 年 6 月 28 日
編集済み: Image Analyst 2020 年 6 月 28 日
bwdist() perhaps?
huazai2020
huazai2020 2020 年 6 月 29 日
The oual can be both given in the form of an equation or data points. How to use the bwdist(), could you share me the code?

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Matt J
Matt J 2020 年 6 月 30 日
編集済み: Matt J 2020 年 6 月 30 日
You can use trustregprob from the File Exchange
For example, consider the following ellipse and external point y,
A=[2 1;1,2]; %Ellipse equation matrix
y=[1;0.5]; %External point
z=[0.584808315593597 ; 0.201052451754066]; %Closest point
ellipsefun=@(p,q) sum([p;q].*(A*[p;q]))-1 ;
hold on
fimplicit(ellipsefun, [-1 1.3 -1 1.3])
plot(y(1),y(2),'rx',z(1),z(2),'bo');
axis equal
hold off
I found the closest point z using the code below,
Aroot=chol(A);
L=Aroot\eye(2);
z=Aroot\trustregprob(L.'*L, L.'*y,1);
and the minimum distance is just,
>> distance=norm(z-y)
distance =
0.5116
  20 件のコメント
huazai2020
huazai2020 2020 年 7 月 7 日
What is FEX AND H1? Are they these?
Find the projection of point P in R^n on the ellipsoid
E = { x = x0 + U*(z.*radii) : |z| = 1 }, where U is orthogonal matrix of the orientation of E, radii are the axis lengths, and x0 is the center.
Or on generalized conic E = { x : x'*A*x + b'*x + c = 0 }.
The projection is the minimization problem:
min | x - P | (or max | x - P|) for x in E.
Method: solve the Euler Lagrange equation with respect to the Lagrange multiplier, which can be written as polynomial equation (from an idea by Roger Stafford)
Bruno Luong
Bruno Luong 2020 年 7 月 8 日
FEX short word for File Exchange. Click on it I put the link on my message.
H1: https://www.mathworks.com/help/matlab/matlab_prog/add-help-for-your-program.html

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その他の回答 (2 件)

Image Analyst
Image Analyst 2020 年 7 月 4 日
"The oual can be both given in the form of an equation or data points." <== if you have data points (xb, yb) on the boundary of an ellipse/oval, you can use sqrt() to find the distances to some other point (xp, yp). Then use in() to find the minimum distance.
distances = sqrt(xb-xp).^2 + (yb-yp).^2);
minDistance = min(distances)
If you have an image then you need to get the boundary points first:
boundaries = bwboundaries(binaryImageOfEllipse);
boundaries = boundaries{1}; % Extract double array from cell array.
xb = boundaries(:, 2);
yb = boundaries(:, 1);
  10 件のコメント
Image Analyst
Image Analyst 2020 年 7 月 18 日
No, you shouldn't use an inner loop because your minDistance will just be the distance between (x1,y1) and xwoint(Num2) and ywoint(Num2) instead of the whole array. Do it like this:
clc;
clear all;
A = xlsread('data1.xlsx');
xpoint=A(:,1);
ypoint=A(:,2);
Num1=length(xpoint);
xwoint=A(:,3);
ywoint=A(:,4);
Num2=length(xwoint);
for k=1:1:Num1
x1 = xpoint(k);
y1 = ypoint(k);
distances = sqrt((xwoint-x1).^2 + (ywoint-y1).^2);
minDistance(k) = min(distances)*1000;
end
plot(minDistance, 'b-');
% xlswrite('thick.xlsx',minDistance,'sheet1');
Not sure why you wanted to multiply by 1000 though.
huazai2020
huazai2020 2020 年 7 月 18 日
編集済み: huazai2020 2020 年 7 月 18 日
1000 is only for the unit changing. Thank you so much for your help.

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Bruno Luong
Bruno Luong 2020 年 7 月 5 日

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