Multiscale intuitionistic fuzzy roughness measure for image segmentation

Prajakta R. Nehare, Yogita K. Dubey, M. Mushrif
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引用次数: 1

Abstract

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.
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图像分割的多尺度直觉模糊粗糙度度量
提出了一种基于多尺度直觉模糊粗糙度测度的图像分割方法。传统的粗糙度测量方法往往过于关注小而重要的均匀区域,但对图像的均匀性测量不够精确。运用尺度空间理论,对图像进行直观模糊表示,在多尺度下测量粗糙度。多尺度表示可以容忍琐碎区域的干扰,直觉模糊表示处理图像边界的犹豫性,从而产生精确的分割结果。
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