We have implemented a texture-based supervised segmentation method to segment a variety of metallograph images which are considered to contain different textured regions. Texture features are computed by using a set of even symmetric Gabor filters which have been successfully used earlier for a variety of texture classification and segmentation tasks. The performance of the proposed method has been shown on a number of test images. These results also demonstrate the ability of our improved approach to separate the untextured regions from the textured regions in the same image.<>


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    Titel :

    Segment the metallograph images using Gabor filter


    Beteiligte:
    Jiang Wen (Autor:in) / You Zhisheng (Autor:in) / Li Hui (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    269989 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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