A linear band, which is a straight line segment with some width (i.e., thickness), is a more structured, higher-level feature compared to edge or line features. In spite of the usefulness of linear bands as features, papers dealing with their detection problem are rare. In this paper, we propose a new method for detecting linear bands in gray-scale images. We first talk about our opinion on what types of linear bands a desirable detector should be able to detect, and then give a description on how we designed our detector to achieve the goal. Our method consists basically of four parts: edge detection, Euclidean distance transform, Hough transform, and line segment extraction. Experimental results show that our method is practical and applicable to real natural images.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Detection of linear bands in gray-scale images based on the Euclidean distance transform and the Hough transform


    Contributors:


    Publication date :

    1999-01-01


    Size :

    538458 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    On the gray-scale inverse Hough transform

    Kesidis, A. L. / Papamarkos, N. | British Library Online Contents | 2000


    Connective Hough transform

    Yuen, S. Y. K. / Lam, T. S. L. / Leung, N. K. D. | British Library Online Contents | 1993


    Which Hough Transform?

    Leavers, V. F. | British Library Online Contents | 1993


    Hough transform for long chirp detection

    Sun, Y. / Willett, P. | IEEE | 2002