Abstract
In the field of image analysis 'texture' plays a crucial role. A texture can be thougt of as an ensemble of repetitive sub patterns, which follow a group of pre-defined arrangement rules. The goal of image segmentation 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 of texture segmentation is to divide the image into a group of regions such that each region has the same textural properties. The present paper proposes a new segmentation method for noise removal, image enhancement and segmentation. The proposed algorithm offers the advantage of providing good quality segmentation. The proposed algorithm is experimented on various Brodatz and Vistex textures and the results show the efficiency of segmentation.
Cite
CITATION STYLE
M, J. P., V, V. K., & A, V. (2013). Morphology Based Technique for Texture Enhancement and Segmentation. Signal & Image Processing : An International Journal, 4(1), 49–56. https://doi.org/10.5121/sipij.2013.4104
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