JOURNAL ARTICLE

Image Thresholding Computation Using Atanassov’s Intuitionistic Fuzzy Sets

Humberto BustinceEdurne BarrenecheaMiguel PagolaRaúl Orduna-UrrutiaR. Orduna

Year: 2007 Journal:   Journal of Advanced Computational Intelligence and Intelligent Informatics Vol: 11 (2)Pages: 187-194   Publisher: Fuji Technology Press Ltd.

Abstract

In this paper, a new thresholding technique using Atanassov’s intuitionistic fuzzy sets (A-IFSs) and restricted dissimilarity functions is introduced. In recent years, various thresholding techniques ([18, 24]) based on fuzzy set theory have been introduced to overcome the problem of non-uniform illumination and inherent image vagueness. In this paper we analyze this task and propose a new method for handling the grayness ambiguity and vagueness during the process of threshold selection.

Keywords:
Thresholding Vagueness Computer science Ambiguity Artificial intelligence Fuzzy set Fuzzy logic Pattern recognition (psychology) Image (mathematics) Task (project management)

Metrics

16
Cited By
1.20
FWCI (Field Weighted Citation Impact)
28
Refs
0.79
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Medical Image Segmentation Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Multi-Criteria Decision Making
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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