@inproceedings{9df44537950249c88a29d057efbd5b5b,
title = "Image thresholding using ultrafuzziness optimization based on type II fuzzy sets",
abstract = "Image thresholding is a critical process in digital image processing application. However, there are some disturbing factors like image vagueness and bad illumination resulting in not satisfied image thresholding output. Several fuzzy thresholding techniques are developed to remove graylevel ambiguity during threshold selection. One of the techniques is thresholding method using type II fuzzy sets. In this paper, we propose relaxation of the ultrafuzziness measurement by considering ultrafuzziness for background and object fuzzy sets separately. The proposed method optimizing ultrafuzziness to decrease uncertainty in fuzzy system used type II fuzzy sets. Experimental results on several images show the effectiveness of the proposed method.",
keywords = "Fuzzy sets, Image thresholding, Type II fuzzy sets, Ultrafuzziness",
author = "Arifin, {Agus Zainal} and Heddyanna, {Aidila Fitri} and Hudan Studiawan",
year = "2009",
doi = "10.1109/ICICI-BME.2009.5417270",
language = "English",
isbn = "9781424449996",
series = "International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009",
booktitle = "International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009",
note = "International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009 ; Conference date: 23-11-2009 Through 25-11-2009",
}