This function ISOCONTOUR computes the isocontour geometry for a certain 2D image and isovalue. To Extract the isocontour geometry it uses Marching Squares and linear interpolation. Followed by sorting the contour geometry into separate contour-objects.
This function is the 2D equivalent of Isosurface extraction using Marching Cubes in 3D.
I : An 2D image (grey-scale)
isovalue : The Iso-value of the contour
Lines : An array describing all the Line-pieces of the isocontour
geomtery, with a N x 2 index list of vertices
Vertices : Vertices (Corners) of the lines M x 2 list of X,Y
Objects : A 1 x K cell array with in every cell a list of indices
corresponding to one connect isocontour. If the isocontour
is closed then the last index value is equal to first index
Hello,what do you mean by saying "base-edges"?
Can you add the paper with I have to cite when I use this method. Thank you very much
Very useful! I cannot find the paper to cite, so I put you into acknowledgment. Cheers.
Very useful and easy to use!
But I think the last segment (point) lacks if a contour is open. Should lines 121 and 123-125 be commented out?
Could you please explain to me the aim of the two function implemented in the isocontour function.
For exemple matrices I, E, IE. What are representing?
I am trying to compute line and vertices for a 2x2 cell. It is throwing an error.
Can somebody tell me how to do it?
Is it possible to compute the area above a gray scale value?
Could you give an example of how to extract the indices for the pixels that a given contour passes through? I have been struggling to get this to work myself. Thank you for submitting this to the FileExchange.
Can you add the paper with I have to cite when I use this method. Nice method by the way, already might have solved two problems with it. Cheers Bas
Line normals now always point to the inside of the object.