Fractography
Segment ductile dimple, cleavage, fatigue, and intergranular regions on fracture surfaces.
Example outputs shown for illustration. Numbers depend on your samples and protocol.
The measurement, today
Failure analysis depends on reading fracture morphology, but region mapping is qualitative and rarely quantified for comparison across parts.
From image to reviewed result
- 1
Calibrate the scale
Set spatial scale from a bar or known dimension. Every downstream number inherits real units.
- 2
Detect & segment
Segmentation models find the objects and regions of interest: grains, particles, pores, fibers, cells.
- 3
Measure
Quantify size, count, area fraction, density, and orientation. The metrics your method already defines.
- 4
Review the overlay
Inspect the result on every field. Adjust thresholds by hand; the change is logged with the output.
- 5
Export & compare
Publication-ready statistics, plus batch comparison across lots, conditions, and time points.
What you export
Scope: Supports measurement and documentation of fracture features. It does not determine root cause on its own.
Related applications
Grain size analysis
Average grain size and full distributions, traced automatically from etched micrographs.
Crack detection & growth
Crack segmentation, length, width proxy, and growth over time for lab specimens.
Inclusion & content rating
Detect and classify inclusions, then rate content by type and severity across fields.
Send a sample image and a measurement goal
We will show the closest ConductVision workflow and flag what needs custom validation for your images.
