Image Registration for Stability Testing of MEMS
This work provides a new application of image registration for stability testing in MEMS devices, which is incremental as it adapts existing algorithms to a new domain without major methodological breakthroughs.
The paper tackled the problem of evaluating stability in Micro-Electro-Mechanical Systems (MEMS) by applying a wavelet-based image registration algorithm to assess alignment stability in the MicroShutters Subsystem of the James Webb Space Telescope's NIRSpec instrument, introducing a new methodology for engineers and a novel application for computer scientists.
Image registration, or alignment of two or more images covering the same scenes or objects, is of great interest in many disciplines such as remote sensing, medical imaging, astronomy, and computer vision. In this paper, we introduce a new application of image registration algorithms. We demonstrate how through a wavelet based image registration algorithm, engineers can evaluate stability of Micro-Electro-Mechanical Systems (MEMS). In particular, we applied image registration algorithms to assess alignment stability of the MicroShutters Subsystem (MSS) of the Near Infrared Spectrograph (NIRSpec) instrument of the James Webb Space Telescope (JWST). This work introduces a new methodology for evaluating stability of MEMS devices to engineers as well as a new application of image registration algorithms to computer scientists.