A5091819815- Multi-Criteria Decision Making
- Image Enhancement Techniques
- Image and Signal Denoising Methods
- Fuzzy Logic and Control Systems
- Marine and environmental studies
- Radioactive contamination and transfer
- Remote-Sensing Image Classification
- Rough Sets and Fuzzy Logic
- Advanced Algebra and Logic
- Fuzzy Systems and Optimization
- Advanced Image Fusion Techniques
- Image Retrieval and Classification Techniques
- Image Processing Techniques and Applications
- Radioactivity and Radon Measurements
- Retinal Imaging and Analysis
- Color Science and Applications
- Advanced Vision and Imaging
- Medical Image Segmentation Techniques
- Mathematics and Applications
- Face and Expression Recognition
- Optical measurement and interference techniques
- Fuzzy and Soft Set Theory
- Advanced Clustering Algorithms Research
- Advanced Mathematical Theories
- Economic and Technological Innovation
Institutul Naţional de Cercetare Dezvoltare Marină Grigore Antipa
2005-2023
Valahia University of Targoviste
1999-2020
Mira Telecom (Romania)
2013-2015
Universitatea Națională de Știință și Tehnologie Politehnica București
2002-2014
Asus (China)
2014
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 negation introduced. Relations to other models like sets, intuitionistic, paraconsistent bipolar discussed.
In this paper, we propose a new mathematical model for image processing. It is logarithmical one. We consider the bounded interval (-1, 1) as set of gray levels. Firstly, define two operations: addition and real scalar multiplication . With these operations, levels becomes vector space. Then, defining product (.|.) norm || ||, obtain an Euclidean space Secondly, extend operations functions color images. finally show effect various simple on image.
In this paper we propose a new algebraical model for the gray level images. It can be used digital image processing. The adresses to those images which are generated in improper light conditions (very low or high level). vector space structure is able illustrate some features into using modified of contrast and luminosity. Also, defined could enhancement. general approach presented with experimental results demonstrate
The paper presents some steps for multi-valued representation of neutrosophic information. These are provided in the framework multi- valued logics using following logical value: true, false, neutral, unknown and saturated. Also, this approach provides calculus formulae fol- lowing features: truth, falsity, neutrality, ignorance, under- definedness, over-definedness, saturation entropy. In addition, it was de- fined net definedness score.
This paper presents an image enhancement method that uses piecewise linear transforms. The determination of this transform is done using a new measure for the mean dynamic range. Firstly defined monochrome images and secondly extended color ones.
In this paper, we propose a mathematical model for color image processing. It is logarithmical one. We consider the cube (-1,1)x(-1,1)x(-1,1) as set of values space. define two operations: addition and real scalar multiplication . With these operations space colors becomes vector Then, defining product (.|.) norm || ||, obtain (logarithmic) Euclidean show how can use enhancement present some experimental results.
This paper presents an extension of fuzzy set based on Łukasiewicz penta-valued logic. new type will be called and defined by five scalar functions: the strong membership, weak uncertainty, non-membership non-membership. Also, represents for intuitionistic sets four-valued set.
The four-valued fuzzy sets (FVFS) represent a new extension of based on the Lukasiewicz logic. These are described by four functions: strong membership, weak non-membership and non-membership. In this paper notion approximation space is introduced. Rough such spaces defined some their properties studied.
The paper presents an extension of Shannon fuzzy entropy for intuitionistic one. Firstly, we presented a new formula calculating the distance and similarity information. Then, constructed measures information features like score, certainty uncertainty. Also, concept was introduced, namely escort using information, Shannon's obtained. It should be underlined that verifies four defining conditions its two components were also identified: fuzziness (ambiguity) incompleteness (ignorance).
The logarithmic model offers new tools for image processing. An efficient method enhancement is to use an affine transformation with the operations: addition and scalar multiplication. We define some criteria automatically determining parameters of processing this done via mean variance computed by operations.
In this article, starting from primary representation of neutrosophic information, namely the triplet (μ,ω,ν) made up degree truth μ, indeterminacy ω and falsity ν, we define a refined in penta-valued fuzzy space, described by index t, f, ignorance u, contradiction c hesitation h. proposed in-determinacy was split into three sub-indeterminacies such as ignorance, hesitation. The set five indexes represents similarities information with these particular values: T=(1,0,0), F=(0,0,1),...
Simple and efficient enhancement methods can be obtained if affine transforms within logarithmic models are used. A very important thing in the transform determination for color images is coordinate system that used space representation. Thus, using of RGB coordinates leads to a simultaneous modification luminosity saturation. In this paper 4-coordinate called lrgb, one define transforms, which allow separated l saturation s (saturation being calculated with component rgb chromatic plane)....