How to convert from 2D (RGB image) to 3D?

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.

Answer 1

[Image Analyst]

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.

[Chathu]

@ Image Analyst, thank you so much for your rapid response with an explanation.

Could you please be kind enough to answer my qu #:1 (which have been asked here) related to slice thickness as well. Can i use MatLab for that?

[Image Analyst]

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.

[Chathu]

Thank you so much for your prompt response Image Analyst. Really appreciate it.