Edge detection system and its use for machine learning
US10664955B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | May 17, 2019 |
| Grant date | May 26, 2020 |
| Priority date | — |
| Expiry date | May 17, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30148
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are disclosed that remove noise from roughness measurements to determine roughness of a feature in a pattern structure. In one embodiment, a method includes generating, using an imaging device, a set of one or more images, each including an instance of a feature within a respective pattern structure. The method also includes detecting edges of the features within the pattern structure of each image using an inverse linescan model, generating a biased power spectral density (PSD) dataset representing feature geometry information corresponding to the edge detection measurements, evaluating a high-frequency portion of the biased PSD dataset to determine a noise model for predicting noise over all frequencies of the biased PSD dataset, and subtracting the noise predicted by the determined noise model from a biased roughness measure to obtain an unbiased roughness measure provided as part of a training data set to a machine learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.