Based on the scale-space theory for discrete signals introduced by Lindeberg (1990) a line detector is presented for locating roof-shaped lines in 1-D and 2-D signals with subpixel accuracy. Additionally the slope of the profile and the line-orientation are estimated. This approach uses convolution kernels derived from a discretization of the diffusion equation in space and scale. The reasons for not using the scale-space operator with continuous scale parameter as proposed by Lindeberg are discussed. The approach features high accuracy and little computing effort for each level of scale.<>


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    Title :

    Line detection discrete scale-space


    Contributors:
    Beil, W. (author)


    Publication date :

    1994-01-01


    Size :

    292152 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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