I’m starting using FIJI for post-processing of 3D image stack, created by industrial CT scanners.
I’m interested in subpixel approaches to edge detection and surface extraction.
Actually I succed in loading RAW stacks, 3D cropping, visualizing in 3D viewer as surfaces (with a thresold value manually extracted from the average histogram) and exporting as stl.
There are some limitations: 3D viewer works with 8bit only, and the resulting surface (marching cubes method?) is not as accurate as I need.
Now I would like to know if anybody had tried a local approach for surface determination. That means for instance checking locally for the maximum gradient across a starting ISO50 contour, and adjusting the surface position according to it.
Multimaterial object suffers from a local over(or under) estimation of the surface position, if a single ISO value is used.
It would be great to have a plugin that:
-works on an image stack
-requires a first ISO value estimation (manual or hang, otsu…)
-estimates a first approximation surface position
-adjust it locally according to local gray value gradients normal to the initial surface
I found something interesting here: https://www.researchgate.net/publication/220778375_Robust_Surface_Detection_for_Variance_Comparison_and_Dimensional_Measurement
It would be also very useful to plot a bigger Histogram, in order to check for various peaks in the material area. Is there the possibility to enlarge the histogram in FIJI?
Thansk to all for the attention