continuous representation (image generation) of discrete data set

7 次查看（过去 30 天）
AAS
AAS 2020-9-12
编辑： AAS 2020-9-18
I have a discrete data set which contains x and y position and velocity. I usually use patch plot to represent this. Is there a continuous way to represent the data? Something that looks like this : https://quickersim.com/flow-porous-media-matlab-quic

请先登录，再回答此问题。

采纳的回答

Image Analyst
Image Analyst 2020-9-12
It looks like there is a whole toolbox at that site. Did you look it over for functions that might do that? Otherwise, see my attached scatteredInterpolant demo.
  4 个评论
显示 2更早的评论
Image Analyst
Image Analyst 2020-9-18
The demo works. Here is the main part:
%================================ MAIN PART RIGHT HERE ==============================================
% Create the scattered interpolant. x, y, and gray levels must be column vectors so use (:) to make them column vectors.
% And grayLevels must be double or else an error gets thrown.
F = scatteredInterpolant(xAll(:), yAll(:), double(grayLevelsAll(:)))
% The above line creates an interpolant that fits a surface of the form v = F(x,y).
% Vectors x and y specify the (x,y) coordinates of the sample points.
% v is a vector that contains the sample values associated with the points (x,y).
% Get a grid of points at every pixel location in the RGB image.
[xGrid, yGrid] = meshgrid(1:columns, 1:rows);
xq = xGrid(:);
yq = yGrid(:);
% Evaluate the interpolant at query locations (xq,yq).
vq = F(xq, yq);
fittedImage = reshape(vq, rows, columns);
%================================ END OF MAIN PART ==============================================
You need xq and yq to be vectors, not images like you had. Also you forgot to do reshape to turn it back into an image.
V=F(x2(:),z2(:));
fittedImage = reshape(V, 1000, 1000);

请先登录，再进行评论。

更多回答（1 个）

Matt J
Matt J 2020-9-12
You can use griddedInterpolant() if your x,y are gridded sample locations, or else scatteredInterpolant().

类别

在 Help Center 和 File Exchange 中查找有关 Read, Write, and Modify Image 的更多信息

标签

产品


版本

R2018a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by