research-article

Multiscale Intuitionistic Fuzzy Roughness Measure for Color Image Segmentation

Authors:

Yogita K. Dubey,

Milind M. Mushrif,

Prajakta R. NehareAuthors Info & Claims

ICVGIP '14: Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing

Article No.: 14, Pages 1 - 8

https://doi.org/10.1145/2683483.2683497

Published: 14 December 2014 Publication History

Abstract

In this paper, a method for color 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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Cited By

Dubey YMushrif MMitra K(2019)BRAIN TUMOR DETECTION AND SEGMENTATION USING MULTISCALE INTUITIONISTIC FUZZY ROUGHNESS IN MR IMAGESBiomedical Engineering: Applications, Basis and Communications10.4015/S101623721950020031:03(1950020)Online publication date: 27-May-2019
https://doi.org/10.4015/S1016237219500200

Index Terms

Multiscale Intuitionistic Fuzzy Roughness Measure for Color Image Segmentation
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Image segmentation
        Video segmentation
      2. Computer vision tasks
        Scene understanding
    2. Knowledge representation and reasoning
      1. Probabilistic reasoning
      2. Vagueness and fuzzy logic

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Published In

cover image ACM Other conferences

ICVGIP '14: Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing

December 2014

692 pages

ISBN:9781450330619

DOI:10.1145/2683483

General Chairs:
A. G. Ramakrishnan
IISc, Bangalore
,
Jitendra Malik
University California, Berkeley
,
Program Chairs:
Alex Efros
UC-Berkeley
,
C. V. Jawahar
IIIT Hyderabad
,
Manik Varma
Microsoft Research

Copyright © 2014 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 December 2014

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ICVGIP '14

ICVGIP '14: Indian Conference on Computer Vision Graphics and Image Processing

December 14 - 18, 2014

Bangalore, India

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Cited By

Dubey YMushrif MMitra K(2019)BRAIN TUMOR DETECTION AND SEGMENTATION USING MULTISCALE INTUITIONISTIC FUZZY ROUGHNESS IN MR IMAGESBiomedical Engineering: Applications, Basis and Communications10.4015/S101623721950020031:03(1950020)Online publication date: 27-May-2019
https://doi.org/10.4015/S1016237219500200

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