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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    Title :

    Segment the metallograph images using Gabor filter


    Contributors:
    Jiang Wen (author) / You Zhisheng (author) / Li Hui (author)


    Publication date :

    1994-01-01


    Size :

    269989 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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