A set of imaging techniques based on Fuzzy Reasoning (FR) approach was built for NASA at Kennedy Space Center (KSC) to perform complex real-time visual-related safety prototype tasks, such as detection and tracking of moving Foreign Objects Debris (FOD) during the NASA Space Shuttle liftoff and visual anomaly detection on slidewires used in the emergency egress system for Space Shuttle at the launch pad. The system has also proved its prospective in enhancing X-ray images used to screen hard-covered items leading to a better visualization. The system capability was used as well during the imaging analysis of the Space Shuttle Columbia accident. These FR-based imaging techniques include novel proprietary adaptive image segmentation, image edge extraction, and image enhancement. Probabilistic Neural Network (PNN) scheme available from NeuroShell(TM) Classifier and optimized via Genetic Algorithm (GA) was also used along with this set of novel imaging techniques to add powerful learning and image classification capabilities. Prototype applications built using these techniques have received NASA Space Awards, including a Board Action Award, and are currently being filed for patents by NASA; they are being offered for commercialization through the Research Triangle Institute (RTI), an internationally recognized corporation in scientific research and technology development. Companies from different fields, including security, medical, text digitalization, and aerospace, are currently in the process of licensing these technologies from NASA.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Image Analysis via Fuzzy-Reasoning Approach: Prototype Applications at NASA


    Contributors:

    Conference:

    IEEE International Conference on Fuzzy Systems ; 2004 ; Budapest, Hungary


    Publication date :

    2004-07-25


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English







    NASA Data & Reasoning Fabric (DRF)

    Kenneth Freeman / Sandeep Shetye / Choudhury Aditya N Das et al. | NTRS | 2022


    NASA Langley Mars Tumbleweed Rover Prototype

    J. Antol / R. L. Chattin / B. M. Copeland et al. | NTIS | 2005