Paper
7 September 2010 Rapid ideal template creation for the inspection of MEMS based on self-similarity characteristics
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Abstract
Surface metrology of MEMS requires high resolution sensors due to their fine structures. An automated multiscale measurement system with multiple sensors at multiple scales enables fast acquisition of the surface data by utilizing high resolution sensors only at locations required. We propose a technique that depends on the fact that often MEMS have features (e.g. combs) repeating across the surface. These features can be segmented and fused to generate an ideal template. We present an automated similarity search approach based on feature detection, rotation invariant matching, and sum of absolute differences to find similar structures on the specimen. Then, similar segments are fused and replaced in the original image to generate an ideal template.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Avinash Burla, Tobias Haist, Wolfram Lyda, Anto Yesuadimai Michael, and Wolfgang Osten "Rapid ideal template creation for the inspection of MEMS based on self-similarity characteristics", Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 77981W (7 September 2010); https://doi.org/10.1117/12.860359
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image segmentation

Microelectromechanical systems

Sensors

Calibration

Inspection

Image processing algorithms and systems

Optical resolution

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