In this paper, we first introduce the concept of thresholded image with constant total gray level, then based on the average gradient of this new kind thresholded image, we present a new image segmentation approach including binary and multithreshold segmentation. The basic idea of this approach is that the higher the mentioned average gradient is, the higher contrast between object and background is, thus the thresholds can be determined by maximizing the average gradient. The proposed approach is more consistent with the human vision perception compared to conventional approaches based on gray-level histogram. Experimental results show the effectiveness of this approach.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A new image segmentation approach based on gradient


    Beteiligte:
    Hu, Liu (Autor:in) / Xie, Mei (Autor:in)

    Kongress:

    International Conference on Space Information Technology ; 2005 ; Wuhan,China


    Erschienen in:

    Erscheinungsdatum :

    2005-11-19





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Novel Memory Gradient Based for Efficient Image Segmentation

    Zhang, Kun / Wu, Jianguo / Zhang, Peijian | Springer Verlag | 2017


    Multiresolution adaptive and progressive gradient-based color-image segmentation

    Vantaram, S.R. / Saber, E. / Dianat, S.A. et al. | British Library Online Contents | 2010


    Mean shift based gradient vector flow for image segmentation

    Zhou, H. / Li, X. / Schaefer, G. et al. | British Library Online Contents | 2013


    Automatic threshold estimation for gradient image segmentation [4550-16]

    Zhang, T. / Wang, X. / Wang, Y. | British Library Conference Proceedings | 2001


    Learning Affinity Functions for Image Segmentation: Combining Patch-Based and Gradient-Based Approaches

    Fowlkes, C. / Martin, D. / Malik, J. et al. | British Library Conference Proceedings | 2003