Journal Article10.1016/J.PATCOG.2005.02.014
Image thresholding using type II fuzzy sets
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TL;DR: A new thresholding technique is introduced which processes thresholds as type II fuzzy sets and a new measure of ultrafuzziness is also introduced and experimental results using laser cladding images are provided.
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About: This article is published in Pattern Recognition. The article was published on 01 Dec 2005. The article focuses on the topics: Thresholding & Balanced histogram thresholding.
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Detecting change in vague interpretations of landscapes
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Survey over image thresholding techniques and quantitative performance evaluation
Mehmet Sezgin,Bulent Sankur +1 more
TL;DR: 40 selected thresholding methods from various categories are compared in the context of nondestructive testing applications as well as for document images, and the thresholding algorithms that perform uniformly better over nonde- structive testing and document image applications are identified.
Type-2 fuzzy sets made simple
Jerry M. Mendel,Robert John +1 more
TL;DR: Establishing a small set of terms that let us easily communicate about type-2 fuzzy sets and also let us define such sets very precisely, and presenting a new representation for type- 2 fuzzy sets, and using this new representation to derive formulas for union, intersection and complement of type-1 fuzzy sets without having to use the Extension Principle.
A possibilistic approach to clustering
TL;DR: An appropriate objective function whose minimum will characterize a good possibilistic partition of the data is constructed, and the membership and prototype update equations are derived from necessary conditions for minimization of the criterion function.
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