How to convert from 2D (RGB image) to 3D?
5 views (last 30 days)
Show older comments
I have a database of RGB, JPEG images where each image has a size of 1398 x 1611 x 3. Original images are in 2D. My intention is to build a 3D model from these images. Couple of questions came up to my mind while struggling with this issue:
1. I want to give the spacing to each slice.But how? (what i meant here is: to give the slice thickness(z direction),
calculate [real width of the image (mm)/image width (pixel)] (x direction),
[real height of the image (mm)/image height (pixel))] (y direction)
2. Then build a 3D model by stacking those 2D images. Does MatLab support 3D modeling? Atleast a 3D mesh would be fine.
Can anyone help me with this? I really appreciate any help.
0 Comments
Accepted Answer
Image Analyst
on 28 Feb 2016
A color image is #D already. Two lateral dimensions and then the third dimension for the 3 different color planes. To make a stack of these, you'd need a 4D array.
MATLAB does not have great 3D volume visualization. You're pretty much limited to cutaway views and isosurfaces. To get true volume visualization you'd have to use a program like Avizo.
3 Comments
Image Analyst
on 28 Feb 2016
Yes, you can have a spatial calibration factor for any of the 3 spatial dimensions to convert indexes (voxels) into real world units such as cm or mm or whatever.
More Answers (0)
See Also
Categories
Find more on 3-D Volumetric Image Processing in Help Center and File Exchange
Products
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!