"Thresholded" Example Sentences
1. The image was thresholded to remove any noise.
2. We set the threshold value for the image to 200.
3. The thresholded data was used for statistical analysis.
4. The algorithm thresholded the data based on a certain criterion.
5. The thresholded image was easier to analyze than the original.
6. The software thresholded the video feed to improve the image quality.
7. The decision to use a thresholded model was controversial.
8. The thresholded audio signal was much clearer.
9. The neural network was trained on thresholded data.
10. The thresholded data showed a noticeable difference in results.
11. The thresholded values were used to create a heatmap.
12. The thresholded image eliminated background noise.
13. The thresholded image was black and white.
14. The data was thresholded to focus on specific features.
15. The thresholded output was unexpected.
16. The image was thresholded to avoid overfitting.
17. The algorithm thresholded the data with the help of a neural network.
18. The thresholded data provided a clearer picture of the situation.
19. The thresholded image showed a distinct pattern.
20. The thresholded data improved the accuracy of the model.
21. The thresholded data was normalized before analysis.
22. The thresholded values were used to segment the image.
23. The thresholded output was used in subsequent experiments.
24. The thresholded data was preprocessed before analysis.
25. The quality of the thresholded image was superior to the original.
26. The thresholded results agreed with previous studies.
27. The thresholded measurements showed a significant difference.
28. The thresholded values were used to train the system.
29. The thresholded output was used in image processing.
30. The thresholded image showed a clear boundary.
Common Phases
1. The data was
thresholded to remove outliers;
2. We applied a thresholding technique to binarize the image;
3. The
thresholded signal revealed clear peaks in the data;
4. The
thresholded values fell within the accepted range;
5. The thresholding algorithm successfully separated the objects in the image.