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.<>
Segment the metallograph images using Gabor filter
01.01.1994
269989 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Segment the Metallograph Images Using Gabor Filter
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