How to do a spline and divide the spline into points of equal distance?
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Jonathan Babitsch
il 14 Lug 2020
Commentato: Image Analyst
il 17 Lug 2020
Hey everybody,
I have a problem concerning my bachelors Thesis and I don't really know what I have to do here...
The task is the following: I want to create a cubic spline through a couple of points, lets say 4 points and have the spline in hundred points of equal distance.
I don't know how to do this, but is there a possibility to to it with one of these functions?
So task is the following:
- 4 points
- 100 points inbetween the first and the last one and have them written in an excel file
I need that to do some automatic positioning stuff in a project.
Big thank you for your help in advance!
Johnny
2 Commenti
Image Analyst
il 17 Lug 2020
John's program gives points equidistant along the actual curve itself, whereas my code below gives points sampled equidistant along the independent axis. Which you want to do really depends on your use case. What do your x and y represent? And why are your samples not equidistant now, and why do you want equidistant sampling?
Risposta accettata
Image Analyst
il 14 Lug 2020
See attached demos.
![spline_demo](https://www.mathworks.com/matlabcentral/answers/uploaded_files/331694/spline_demo.png)
![spline_3d_curve](https://www.mathworks.com/matlabcentral/answers/uploaded_files/331697/spline_3d_curve.png)
2 Commenti
Image Analyst
il 14 Lug 2020
Modificato: Image Analyst
il 14 Lug 2020
I thought it would be easy for you to adapt. Everything has descriptive variable names and is well commented. So all you had to do was change two numbers. Anyway, here is I guess what you (hopefully) finally got:
% Demo to show spline interpolation.
% Clean up / initialize
clc;
close all;
clear all;
workspace; % Display workspace panel.
% Create the original knot points.
lengthX = 4;
x = 1:lengthX;
y = rand (lengthX,1);
% Plot it and show how the line has sharp bends.
plot(x, y, '-sr', 'LineWidth', 2);
set(gcf, 'Position', get(0,'Screensize')); % Maximize figure.
% Use splines to interpolate a smoother curve,
% with 25 times as many points (100 total),
% that goes exactly through the same data points.
samplingRateIncrease = 25;
newXSamplePoints = linspace(1, max(x), lengthX * samplingRateIncrease);
smoothedY = spline(x, y, newXSamplePoints);
% Plot smoothedY and show how the line is
% smooth, and has no sharp bends.
hold on; % Don't destroy the first curve we plotted.
plot(newXSamplePoints, smoothedY, '-ob');
title('Spline Interpolation Demo', 'FontSize', 20);
legend('Original Points', 'Spline Points');
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/331754/image.png)
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