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Curve Digitization in d3VIEW

Sukanya BalaSeptember 27, 20212 min read

In several instances, time-history curves may need to be imported from either an Image (PNG/JPEG,.) or PDF files for use in comparison with simulations or for material calibration. d3VIEW Workflows now has the ability to digitize these images into a usable data curve.

This post reviews the 5-step process in digitizing the image from a given image as shown below:

Step 1: Upload image in curve input field.

Add a curve input and upload an image of a curve in the drop box to open the digitization tool.

Step 2: Click on x min and pick a point.

Start by adding a point for x min. Choose this option (1), pick the min x point on the curve image (2) and indicate the min x value (3).

Step 3: Select points for x max, y min and y max.

Workflows will auto switch through x max, y min and y max options.

Step 3: Assign values for x max, y min and y max.

Choose points and values for x max, y min and y max.

Step 4: Choose automatic selection or manual to select more points.

Have workflows automatically select the points for you based on the image and previously selected points; or, manually select all the points yourself.

Step 5: Click on Extract Data and save.

Finish by clicking on Extract Data (1) to get all the data points for your workflow and then clicking on Save (2).

Before and After

Here is the side-by-side view of our input curve image & our extracted data curve with points.

To learn more about d3VIEW Workflows, please check out this page.