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Morphology Based Technique for Texture Enhancement and Segmentation

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Author(s): M.Joseph Prakash | V.Vijaya Kumar | A.VinayaBabu

Journal: Signal & Image Processing
ISSN 2229-3922

Volume: 4;
Issue: 1;
Start page: 49;
Date: 2013;
Original page

ABSTRACT
n the field of image analysis ‘texture’ plays a crucial role. A texture can be thougt of as an ensemble ofrepetitive sub patterns, which follow a group of pre- defined arrangement rules. The goal of imagesegmentation is to detect and extract the regions,which compose an image. In image analysis,understanding and interpretation texture segmentation is one of the most important techniques. The goal oftexture segmentation is to divide the image into agroup of regions such that each region has the sametextural properties. The present paper proposes a new segmentation method for noise removal, imageenhancement and segmentation. The proposed algorithm offers the advantage of providing good qualitysegmentation. The proposed algorithm is experimented on various Brodatz and Vistex textures and theresults show the efficiency of segmentation.
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