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Found 23 papers, 1 papers with code
Gray Level Image Threshold Using Neutrosophic Shannon Entropy
This article presents a new method of segmenting grayscale images by minimizing Shannon's neutrosophic entropy.
Shannon entropy for intuitionistic fuzzy information
The paper presents an extension of Shannon fuzzy entropy for intuitionistic fuzzy one.
Entropy, neutro-entropy and anti-entropy for neutrosophic information
This deca-valued structure led to construction of two new concepts for the neutrosophic information: neutro-entropy and anti-entropy.
Penta and Hexa Valued Representation of Neutrosophic Information
Starting from the primary representation of neutrosophic information, namely the degree of truth, degree of indeterminacy and degree of falsity, we define a nuanced representation in a penta valued fuzzy space, described by the index of truth, index of falsity, index of ignorance, index of contradiction and index of hesitation.
Entropy and Syntropy in the Context of Five-Valued Logics
This paper presents a five-valued representation of bifuzzy sets.
Similarity, Cardinality and Entropy for Bipolar Fuzzy Set in the Framework of Penta-valued Representation
In this paper one presents new similarity, cardinality and entropy measures for bipolar fuzzy set and for its particular forms like intuitionistic, paraconsistent and fuzzy set.
New HSL Distance Based Colour Clustering Algorithm
Next, the proposed distance is used for a fuzzy colour clustering algorithm construction.
A New Penta-valued Logic Based Knowledge Representation
In this paper a knowledge representation model are proposed, FP5, which combine the ideas from fuzzy sets and penta-valued logic.
Multi-valued Color Representation Based on Frank t-norm Properties
In this paper two knowledge representation models are proposed, FP4 and FP6.
Color Image Enhancement Using the lrgb Coordinates in the Context of Support Fuzzification
Their elements will be fuzzy windows and in each of them there will be defined an affine transform induced by parameters using the fuzzy mean, fuzzy variance and fuzzy saturation computed for the pixels that belong to the analyzed window.
A Generalization of Gustafson-Kessel Algorithm Using a New Constraint Parameter
In this paper one presents a new fuzzy clustering algorithm based on a dissimilarity function determined by three parameters.
The Neutrosophic Entropy and its Five Components
These five features are supplemented until a seven partition of unity by adding two features of neutrosophic certainty such as truth and falsity.
Image enhancement using the mean dynamic range maximization with logarithmic operations
In this paper we use a logarithmic model for gray level image enhancement.
Gray level image enhancement using the Bernstein polynomials
This paper presents a method for enhancing the gray level images.
Image Enhancement Using a Generalization of Homographic Function
This paper presents a new method of gray level image enhancement, based on point transforms.
Contour Detection Using Contrast Formulas in the Framework of Logarithmic Models
In this paper we use a new logarithmic model of image representation, developed in [1, 2], for edge detection.
Gray Level Image Enhancement Using Polygonal Functions
This paper presents a method for enhancing the gray level images.
Image Dynamic Range Enhancement in the Context of Logarithmic Models
The authors answer to such questions in the context of logarithmic models for images.
The Affine Transforms for Image Enhancement in the Context of Logarithmic Models
The logarithmic model offers new tools for image processing.
An Algebraical Model for Gray Level Images
In this paper we propose a new algebraical model for the gray level images.
Color Image Enhancement In the Framework of Logarithmic Models
We consider the cube (-1, 1)x(-1, 1)x(-1, 1) as the set of values for the color space.
A Mathematical Model for Logarithmic Image Processing
With these operations, the set of gray levels becomes a real vector space.
Neutrosophic information in the framework of multi-valued representation
The paper presents some steps for multi-valued representation of neutrosophic information.
