This paper presents a new algorithm for locating the boundaries of textured regions (both step changes and outliers) using a robust estimator. Previous robust image filters perform poorly on binary images, blur edges, round corners, and run slowly. The author avoids artifacts on binary images by modelling them as continuous and interpolating values. Information is combined directly between non-adjacent locations to prevent blurring. Corners are sharpened by relabelling mis-classified pixels. The algorithm is made as fast as a Marr-Hildreth edge finder by restructuring the estimator as a series of 2D image operations, using new multi-ring order statistic operators, and running most of the estimator on a randomly sampled image.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Practical edge finding with a robust estimator


    Contributors:
    Fleck (author)


    Publication date :

    1994-01-01


    Size :

    486255 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Practical Edge Finding with a Robust Estimator

    Fleck, M. M. / Institute of Electrical and Electronics Engineers; Computer Society | British Library Conference Proceedings | 1994


    Robust wind shear stochastic controller-estimator

    PRASANTH, R. K. / BAILEY, J. E. / KRISHNAKUMAR, K. | AIAA | 1992



    Depth-First K-Nearest Neighbor Finding Using the MaxNearestDist Estimator

    Samet, H. / IEEE | British Library Conference Proceedings | 2003


    Practical aspects of using a maximum likelihood estimator

    Iliff, K. W. / Maine, R. E. | NTRS | 1975