This paper proposes an algorithm for segmentation and extracting an object region by using Gabor filters. Gabor filters are exploited to attract the spatial frequency in some orientations, and not only the outputs of Gabor filters but also color information are used to construct the features at each image pixel. The criterion is devised so as to consider the similarity, the region size and the region shape factors in order to efficiently merge the features. In general, a complex object may be segmented into multiple regions. However for purpose of detecting such a complex object, we represent the object region by the normalized cumulative histogram of features. From experimental results, it is found that the proposed algorithm is able to efficiently detect the object regions such as cars in images of usual traffic scenes.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Segmentation and object detection with Gabor filters and cumulative histograms


    Beteiligte:
    Shioyama, T. (Autor:in) / Wu, H. (Autor:in) / Mitani, S. (Autor:in)


    Erscheinungsdatum :

    01.01.1999


    Format / Umfang :

    199963 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Segmentation and Object Detection with Gabor Filters and Cumulative Histograms

    Shioyama, T. / Wu, H. / Mitani, S. et al. | British Library Conference Proceedings | 1999



    Features for Texture Segmentation Using Gabor Filters

    Mittal, N. / Mital, D. P. / Chan, K. L. et al. | British Library Conference Proceedings | 1999



    Hierarchical Gabor Filters for Object Detection in Infrared Images

    Braithwaite, R. N. / Bhanu, B. / Institute of Electrical and Electronics Engineers; Computer Society | British Library Conference Proceedings | 1994