Application of edge field analysis to a blurred image

Mitsuharu Matsumoto*, Shuji Hashimoto

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    This paper introduces a method for quasi-motion extraction from a blurred image utilizing edge field analysis (EFA). Exposing a film for a certain time, we can directly photograph the trajectory of the moving object as an edge in a blurred image. As the edge trajectories are not exactly the same but similar to the optical flows, they allow us to treat the edge image as a pseudo-vector field. We define three line integrals in the edge image on closed curve similar to vector analysis. These integrals correspond to three flow primitives of the scene such as the translation, rotation and divergence. As the images, we utilized some images such as the storm, the bottle rocket and a moving object with random patterns. In order to evaluate the proposed method, we conducted the experiments of estimating the eye of the storm, the center of the explosion in terms of bottle rocket, and the centers of the rotation and divergence of the moving object.

    Original languageEnglish
    Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
    Publication statusPublished - 2007
    EventMachine Vision Applications in Industrial Inspection XV - San Jose, CA
    Duration: 2007 Jan 292007 Jan 30


    OtherMachine Vision Applications in Industrial Inspection XV
    CitySan Jose, CA


    • Blurred image
    • Divergence
    • Edge field analysis
    • Quasi-motion extraction
    • Rotation
    • Vector analysis

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Condensed Matter Physics


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