The retrieval of images based on their visual similarity to an example image is an important and fascinating area of research. Here, a method to characterize visual appearance for determining global similarity in images is described. Images are filtered with Gaussian derivatives and geometric features are computed from the filtered images. The geometric features used here are curvature and phase. Two images may be said to be similar if they have similar distributions of such features. Global similarity may, therefore, be deduced by comparing histograms of these features. This allows for rapid retrieval and examples from collection of gray-level and trademark images are shown.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    On computing global similarity in images


    Contributors:
    Ravela, S. (author) / Manmatha, R. (author)


    Publication date :

    1998-01-01


    Size :

    1076029 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    On Computing Global Similarity in Images

    Ravela, S. / Manmatha, R. | British Library Conference Proceedings | 1998


    Computing local and global similarity in images [3299-60]

    Manmatha, R. / Ravela, S. S. / Chitti, Y. et al. | British Library Conference Proceedings | 1998


    Similarity retrieval of trademark images

    Ciocca, G. / Schettini, R. | IEEE | 1999


    Similarity Retrieval of Trademark Images

    Ciocca, G. / Schettini, R. / IEEE | British Library Conference Proceedings | 1999


    Retrieving images by similarity of visual appearance

    Ravela, S. / Manmatha, R. | IEEE | 1997