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Search Results: 1 - 10 of 704 matches for " Vasile Patrascu "
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Neutrosophic information in the framework of multi-valued representation
Vasile Patrascu
Computer Science , 2014, DOI: 10.13140/2.1.4717.2169
Abstract: The paper presents some steps for multi-valued representation of neutrosophic information. These steps are provided in the framework of multi-valued logics using the following logical value: true, false, neutral, unknown and saturated. Also, this approach provides some calculus formulae for the following neutrosophic features: truth, falsity, neutrality, ignorance, under-definedness, over-definedness, saturation and entropy. In addition, it was defined net truth, definedness and neutrosophic score.
Gray level image enhancement using the Bernstein polynomials
Vasile Patrascu
Computer Science , 2014,
Abstract: This paper presents a method for enhancing the gray level images. This presented method takes part from the category of point operations and it is based on piecewise linear functions. The interpolation nodes of these functions are calculated using the Bernstein polynomials.
Image Enhancement Using a Generalization of Homographic Function
Vasile Patrascu
Computer Science , 2014,
Abstract: This paper presents a new method of gray level image enhancement, based on point transforms. In order to define the transform function, it was used a generalization of the homographic function.
An Algebraical Model for Gray Level Images
Vasile Patrascu
Computer Science , 2014,
Abstract: In this paper we propose a new algebraical model for the gray level images. It can be used for digital image processing. The model adresses to those images which are generated in improper light conditions (very low or high level). The vector space structure is able to illustrate some features into the image using modified level of contrast and luminosity. Also, the defined structure could be used in image enhancement. The general approach is presented with experimental results to demonstrate image enhancement.
Gray Level Image Enhancement Using Polygonal Functions
Vasile Patrascu
Computer Science , 2014,
Abstract: This paper presents a method for enhancing the gray level images. This method takes part from the category of point transforms and it is based on interpolation functions. The latter have a graphic represented by polygonal lines. The interpolation nodes of these functions are calculated taking into account the statistics of gray levels belonging to the image.
Image enhancement using the mean dynamic range maximization with logarithmic operations
Vasile Patrascu
Computer Science , 2014,
Abstract: In this paper we use a logarithmic model for gray level image enhancement. We begin with a short presentation of the model and then, we propose a new formula for the mean dynamic range. After that we present two image transforms: one performs an optimal enhancement of the mean dynamic range using the logarithmic addition, and the other does the same for positive and negative values using the logarithmic scalar multiplication. We present the comparison of the results obtained by dynamic ranges optimization with the results obtained using classical image enhancement methods like gamma correction and histogram equalization.
Contour Detection Using Contrast Formulas in the Framework of Logarithmic Models
Vasile Patrascu
Computer Science , 2014,
Abstract: In this paper we use a new logarithmic model of image representation, developed in [1,2], for edge detection. In fact, in the framework of the new model we obtain the formulas for computing the "contrast of a pixel" and the "contrast" image is just the "contour" or edge image. In our setting the range of values is preserved and the quality of the contour is good for high as well as for low luminosity regions. We present the comparison of our results with the results using classical edge detection operators.
The Neutrosophic Entropy and its Five Components
Vasile Patrascu
Computer Science , 2015,
Abstract: This paper presents two variants of penta-valued representation for neutrosophic entropy. The first is an extension of Kaufmann's formula and the second is an extension of Kosko's formula. Based on the primary three-valued information represented by the degree of truth, degree of falsity and degree of neutrality there are built some penta-valued representations that better highlights some specific features of neutrosophic entropy. Thus, we highlight five features of neutrosophic uncertainty such as ambiguity, ignorance, contradiction, neutrality and saturation. These five features are supplemented until a seven partition of unity by adding two features of neutrosophic certainty such as truth and falsity. The paper also presents the particular forms of neutrosophic entropy obtained in the case of bifuzzy representations, intuitionistic fuzzy representations, paraconsistent fuzzy representations and finally the case of fuzzy representations.
Entropy and Syntropy in the Context of Five-Valued Logics
Vasile Patrascu
Computer Science , 2015,
Abstract: This paper presents a five-valued representation of bifuzzy sets. This representation is related to a five-valued logic that uses the following values: true, false, inconsistent, incomplete and ambiguous. In the framework of five-valued representation, formulae for similarity, entropy and syntropy of bifuzzy sets are constructed.
A New Penta-valued Logic Based Knowledge Representation
Vasile Patrascu
Computer Science , 2015,
Abstract: In this paper a knowledge representation model are proposed, FP5, which combine the ideas from fuzzy sets and penta-valued logic. FP5 represents imprecise properties whose accomplished degree is undefined, contradictory or indeterminate for some objects. Basic operations of conjunction, disjunction and negation are introduced. Relations to other representation models like fuzzy sets, intuitionistic, paraconsistent and bipolar fuzzy sets are discussed.
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