Data Processing
Data Alignment
During different scans of target objects, the object position in the acquired image data may vary slightly. You can extract common features to align different images and ensure consistency in subsequent measurements.
Follow the instructions on the Alignment Step below:
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Create a model for matching: Click the Edit Model button to open the 2D model editor and select representative and common features to create a model.
For usage instructions, see 2D Model Editor. -
Set Step parameters: After selecting the model, adjust the other parameters in the Parameters section of the Step. In most cases, the default settings for these parameters should be sufficient. Under Output, verify that the Surface Data item is selected.
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Output aligned data: After the Step is run, it will output the aligned image data.
- Tuning experience
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The 2D matching model is crucial to image alignment. When creating a model, you should select the edges with stable point cloud quality and low feature similarity and that can effectively determine the X or Y direction of images as features.
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To shorten the cycle time of measurement, you can appropriately narrow the angle range and scale range in the “Feature parameters” panel on the right side of the 2D model editor interface. For example, if the angle deviation of the incoming target objects in images does not exceed 5°, the angle range can be set to ±5° to speed up feature matching. For more parameter details, see Feature Parameters.
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If it is difficult to select appropriate features, you can drag the Depth range setting sliders on the right side of the image to highlight edge features for easier feature selection.
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Extract the Data for Depression Detection
The surface data for depression detection is the top surface of the brake pad. You can use the Process Surface by Filter Step to extract the data where depressions exist and exclude useless data.
In the parameter configuration panel of the Step, adjust the following parameters:
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Select Crop from the drop-down list under the “Filter Type” parameter.
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Select the Use Feature Region option and adjust the region in the data visualization area to include the target defect detection data.
Then, run the Step to obtain the cropped surface data.
Next, you can use the cropped surface data to detect depressions.