Borrar filtros
Borrar filtros

SVD line fitting or ransac line fitting in multidimensionl image

5 visualizaciones (últimos 30 días)
i have a multidimensional image of size 1024*512*128. For each slice(1024*512), I have single point from the mid slice of an image say from slice 40 to 128. So, i have 89 points in my multidimensional (volumetric) image. how can i fit the straight line using svd/ ransac or any other method and then extrapolate that line to the end of the volumetric image?

Respuesta aceptada

Matt J
Matt J el 27 de Dic. de 2017
Editada: Matt J el 27 de Dic. de 2017
This will give you the equations Aeq*x=beq for the line,
Q=[X(:),Y(:),Z(:)];
m=mean(Q,1).';
Q=Q-m.';
[~,~,Z]=svd(Q,0);
Aeq=Z(:,2:3).';
beq=Aeq*m;
Because you know the vertices of the volume's bounding box (put them in the rows of a matrix V), you can then use intersectionHull (download here) to find the intersection points of the line with the box,
I=intersectionHull('vert',V,'lcon',[],[],Aeq,beq);
  10 comentarios
prashant singh
prashant singh el 28 de Dic. de 2017
Done but please let me know if I can visualize the convex hull on my volumetric image to validate the result.
Matt J
Matt J el 28 de Dic. de 2017
Editada: Matt J el 28 de Dic. de 2017
I'm not sure how you would do that. Possibly you could use a slice viewer from the File Exchange, e.g.,
and then add lines to the 3D axes using the line() command (with HOLD ON active).

Iniciar sesión para comentar.

Más respuestas (0)

Categorías

Más información sobre Read, Write, and Modify Image en Help Center y File Exchange.

Community Treasure Hunt

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

Start Hunting!

Translated by