Application of edge field analysis to a blurred image

Mitsuharu Matsumoto*, Shuji Hashimoto

*この研究の対応する著者

    研究成果: Conference contribution

    抄録

    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.

    本文言語English
    ホスト出版物のタイトルProceedings of SPIE - The International Society for Optical Engineering
    6503
    出版ステータスPublished - 2007
    イベントMachine Vision Applications in Industrial Inspection XV - San Jose, CA
    継続期間: 2007 1 292007 1 30

    Other

    OtherMachine Vision Applications in Industrial Inspection XV
    CitySan Jose, CA
    Period07/1/2907/1/30

    ASJC Scopus subject areas

    • 電子工学および電気工学
    • 凝縮系物理学

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