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Segment the metallograph images using Gabor filter

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3 Author(s)
Jiang Wen ; Dept. of Comput. Sci., Sichuan Univ., Chengdu, China ; You Zhisheng ; Li Hui

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

Published in:

Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on

Date of Conference:

13-16 Apr 1994

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