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Deformable materials analysis – dermatology or manufacturing inspection




2: Mechanical Engineering

Faculty Supervisor:

Brian Anthony

Faculty email:


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Project Description

Deformable surfaces (naturally or artificially coated or patterned) must be inspected and sequentially compared and characterized for applications in manufacturing and in dermatology. Image properties can be used for quality control and feedback control and health assessment of machines or of people. Multiple difficulties arise in large-area and high-resolution image measurement of deformable surfaces. This project will address a key issue in deformation measurement: the registration and matching of deformed patterns including those with noise, occlusions, and artifacts. The emphasis will be on accurate and robust registration and constellation matching algorithms. The registration algorithm will use deviation metrics to estimate global translation, rotation and scaling; the matching algorithm will use constellation reference grid to characterize local deformed point patterns. Impact: This project if of broad interest to the flexible electronics manufacturing industry and also to dermatology. Of interest: https://www.ornl.gov/group/rtrm https://www.3m.com/3M/en_US/paper-and-print-us/ https://www.sciencedirect.com/science/article/abs/pii/S2352431620300225


1. The project will involve image processing and optimizations skills. Background knowledge/interest in these areas is helpful and these skills will be built throughout the project. 2. This project is offered as part of the MechE Alliance industry connected ELO cohorts. Applicants will be expected to participate in the cohort program to be eligible for the position. More information can be found in this Google Doc: https://drive.google.com/file/d/1YbGwDXGAvPDSN6DEDGBw-VDJWS7jnp65/view?usp=sharing