Multiscale intuitionistic fuzzy roughness measure for image segmentation

In this paper, a method for image segmentation using multiscale intuitionistic fuzzy roughness measure is proposed. The traditional roughness measure tends to over-focus on the little important homogeneous regions but is not accurate enough to measure the homogeneity in an image. By applying the the...

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Bibliographic Details
Main Authors: Nehare, Prajakta R., Dubey, Yogita K., Mushrif, Milind M.
Format: Conference Proceeding
Language:English
Subjects:
A-IFS
Approximation methods
Biomedical imaging
Digital images
Filtering
Image segmentation
Indexes
Linear scale space
Manganese
Multiscale
Roughness
Roughset
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Summary:In this paper, a method for image segmentation using multiscale intuitionistic fuzzy roughness measure is proposed. The traditional roughness measure tends to over-focus on the little important homogeneous regions but is not accurate enough to measure the homogeneity in an image. By applying the theories of scale-space and using intuitionistic fuzzy representation for images, roughness is measured under multiple scales. Multiscale representation can tolerate the disturbance of trivial regions, and intuitionistic fuzzy representation deals with hesitancy in image boundary, therefore produces precise segmentation results.
DOI:10.1109/ICCSP.2014.6949879