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Assessing Speckle Pattern Quality in DIC by Mohsin Rashid is a document available to read on EtoBox.
This article discusses the impact of speckle pattern quality on digital image correlation (DIC) technology, emphasizing the need for effective assessment parameters. It introduces a new parameter, Ef, which evaluates speckle pattern quality based on mean bias error, contrasting it with the commonly used mean intensity gradient (MIG) that focuses on standard deviation error. The study validates the effectiveness of Ef through numerical translations of various speckle patterns, demonstrating that lower Ef val
- Author
- Mohsin Rashid
- Language
- EN