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Color image enhancement by fuzzy intensification

M. Hanmandlu, Devendra Jha, Rochak Sharma
2003 Pattern Recognition Letters  
We introduce a new contrast intensification operator, which involves a parameter t for enhancement of color images.  ...  After substituting for the membership function in (6) from (3) and (5) and maximizing C with respect to f h , we can derive an approximate formula by taking the first two terms in the expansion of  ...  This would make the new intensification operator more general as the enhancement can be made bereft of visual assessment.  ... 
doi:10.1016/s0167-8655(02)00191-5 fatcat:ixrpu2lz4ne5rbw6vh2h2hjlwy

Adaptive fuzzy contrast factor enhancement technique for low contrast and nonuniform illumination images

Khairunnisa Hasikin, Nor Ashidi Mat Isa
2012 Signal, Image and Video Processing  
A new parameter called the contrast factor which will provide information on the difference among the gray-level values in the local neighborhood is proposed.  ...  However, this method suffers from high computational time and difficulty in generating a fuzzy rule.  ...  The Gaussian functions are modified to fuzzify dark (i.e., underexposed) and bright (overexposed) regions separately as derived in Eqs.  ... 
doi:10.1007/s11760-012-0398-x fatcat:mo3z2djmzfg4bd5u6qzovu4vj4

Nonsingleton fuzzy logic systems: theory and application

G.C. Mouzouris, J.M. Mendel
1997 IEEE transactions on fuzzy systems  
interpretation of a NSFLS as a SFLS in the special case of Gaussian membership functions and product inference, and the referees who suggested improvements to the statement and proof of the universal approximation  ...  Conceptually, the nonsingleton fuzzifier implies that the given input value is the most likely value to be the correct one from all the values in its immediate neighborhood; however, because the input  ...  Mendel, Fellow, IEEE Abstract-In this paper, we present a formal derivation of general nonsingleton fuzzy logic systems (NSFLS's) and show how they can be efficiently computed.  ... 
doi:10.1109/91.554447 fatcat:tevkfoc6angpniztnfm7ope7uu

A comprehensive study of upward fuzzy preference relation based fuzzy rough set models: Properties and applications in treatment of coronavirus disease

Noor Rehman, Abbas Ali, Peide Liu, Kostaq Hila
2021 International Journal of Intelligent Systems  
Thereafter on the basis of α-upward fuzzified preference rough sets, we propose approximate preci-  ...  In this paper, we first introduce a new type of rough sets called α-upward fuzzified preference rodownward fuzzy preferenceugh sets using upward fuzy preference relation.  ...  In rough set theory, creating a pair of approximation operators called lower and upper approximation operators is important.  ... 
doi:10.1002/int.22433 fatcat:uhhpmfaxjjgqtkv5mawzyir2ti

An Optimal Fuzzy System for Color Image Enhancement

M. Hanmandlu, D. Jha
2006 IEEE Transactions on Image Processing  
Index Terms-Enhancement, entropy, fuzzifier, fuzzy contrast, image quality, intensification operator, quality factor and visual factor.  ...  We introduce a global contrast intensification operator (GINT), which contains three parameters, viz., intensification parameter , fuzzifier , and the crossover point , for enhancement of color images.  ...  Enhancement of the fuzzified image is carried out using a general intensification operator GINT of sigmoid type, which depends on the crossover point and the intensification parameter .  ... 
doi:10.1109/tip.2006.877499 pmid:17022262 fatcat:jgd4hscrqje5dfhs2eaeablsae

Reference Function Based Spatiotemporal Fuzzy Logic Control Design Using Support Vector Regression Learning

Xian-Xia Zhang, Ye Jiang, Shiwei Ma, Bing Wang
2013 Journal of Applied Mathematics  
Furthermore, the universal approximation capability of the proposed 3D fuzzy system is proven in terms of the finite covering theorem.  ...  The nonlinear mathematical expression of the reference function based 3D FLC is derived, and spatial fuzzy basis functions are defined.  ...  Acknowledgment This work was supported by the project from the National Science Foundation of China under Grant no. 61273182, no. 51375293, and no. 61171145.  ... 
doi:10.1155/2013/410279 fatcat:5qdqd6qijfe6jnx3bkjxivjota

Page 2486 of Mathematical Reviews Vol. , Issue 86f [page]

1986 Mathematical Reviews  
Prade [Fuzzy sets and systems, Academic Press, New York, 1980; MR 82c:03074] studied fuzzified functions of type L-R.  ...  Alma) ¢ This paper shows that the local deriva- tive is equivalent to the distributional derivative, a result which is unexpected since local and weak convergence do not coincide in general. E. L.  ... 

Adaptive control of a class of nonlinear systems with fuzzy logic

Chun-Yi Su, Y. Stepanenko
1994 IEEE transactions on fuzzy systems  
Global asymptotic stability of the algorithm is established in the Lyapunov sense, with tracking errors converging to a neighborhood of zero.  ...  Simulation results for an unstable nonlinear plant are included to demonstrate that incorporating the linguistic fuzzy information from human experts results in superior tracking performance.  ...  Section I11 is devoted to the general problem of function approximation using fuzzy IF-THEN rules from human experts.  ... 
doi:10.1109/91.324808 fatcat:z2fajxcwqbcu3fefuwdmuhbp54

On the Use of Fuzzy Logic to Control Paralleled DC-DC Converters [chapter]

Bogdan Tomescu, Hugh F. Van Landingham
2002 Studies in Fuzziness and Soft Computing  
The design uses a PID expert to derive the fuzzy inference rules, and simulation results show a good parameter insensitive transient response over a wide range load-step responses, e.g., from 25% to 75%  ...  The technique benefits also from the heuristic approach to the problem that overcomes the complexity in modeling such systems and, hence, offers a practical engineering tool, amenable to both analog and  ...  This is because, as known, the linearization around the steady-state operating point can only predict the plant behavior in the neighborhood of the respective operating point.  ... 
doi:10.1007/978-3-7908-1783-6_4 fatcat:gnlutlh5obhlblkkxxgcnri6rm

Page 998 of Mathematical Reviews Vol. , Issue 99b [page]

1991 Mathematical Reviews  
Such conditions are found under the following assumptions: the nonlinear n-dimensional vector-function Z(x,k,¢) has bounded derivative with respect to the first argument in a neighborhood of the generating  ...  A pre- requisite Fredholm and adjoint operator theory for linear periodic systems is developed.  ... 

Input Uncertainty Sensitivity Enhanced Nonsingleton Fuzzy Logic Controllers for Long-Term Navigation of Quadrotor UAVs

Changhong Fu, Andriy Sarabakha, Erdal Kayacan, Christian Wagner, Robert John, Jonathan M. Garibaldi
2018 IEEE/ASME transactions on mechatronics  
system (ROS) using the C++ programming language.  ...  The performance of the Cen-NSFLC is compared with a conventional proportional integral derivative (PID) controller, a singleton FLC (SFLC) and a Tra-NSFLC.  ...  This work was also partially funded by the RCUK's EP/M02315X/1 From Human Data to Personal Experience grant.  ... 
doi:10.1109/tmech.2018.2810947 fatcat:q3t3zao2krcrlmvw6s4qjcdkpa

Adaptive Type-2 Fuzzy Sliding Mode Controller for SISO Nonlinear Systems Subject to Actuator Faults

Meriem Benbrahim, Najib Essounbouli, Abdelaziz Hamzaoui, Ammar Betta
2013 International Journal of Automation and Computing  
Two adaptive type-2 fuzzy logic systems are used to approximate the unknown functions, whose adaptation laws are deduced from the stability analysis.  ...  In this paper, an adaptive type-2 fuzzy sliding mode control to tolerate actuator faults of unknown nonlinear systems with external disturbances is presented.  ...  Fuzzifier The fuzzifier maps a crisp input vector with n input fuzzy sets, which can be type-2 (T2) fuzzy input setsÃx [33, 34] in general.  ... 
doi:10.1007/s11633-013-0729-6 fatcat:vjqcxx2smzdwzoidpsr7uxlify

A fuzzy-based optimal reactive power control

K.H. Abdul-Rahman, S.M. Shahidehpour
1993 IEEE Transactions on Power Systems  
The objectives are to minimize real power losses and improve the voltage profile of a given system.  ...  Results for the application of this approach on test systems reveal its numerous advantages.  ...  In order to use LP, this convex objective function is linearized in the neighborhood of the current operating state of the system.  ... 
doi:10.1109/59.260814 fatcat:urvqep46t5gsdek2a52jqg4oem

Formalized Conceptual Spaces with a Geometric Representation of Correlations [article]

Lucas Bechberger, Kai-Uwe Kühnberger
2018 arXiv   pre-print
Moreover, we define various operations for our formalization, both for creating new concepts from old ones and for measuring relations between concepts.  ...  In order to derive M ( C), we first describe how to compute V ( C α ), i.e., the size of a fuzzified cuboid's α-cut. Using Equation 1, we can then derive M ( C), which we can d := p + d − p − d .  ...  l=1     (−1) l+1 · {i 1 ,...  ... 
arXiv:1801.03929v1 fatcat:lssbmrjg75d5xi4ja2syeuoesm

A new method based on Type-2 fuzzy neural network for accurate wind power forecasting under uncertain data

Amir Sharifian, M. Jabbari Ghadi, Sahand Ghavidel, Li Li, Jiangfeng Zhang
2018 Renewable Energy  
is proposed to provide an accurate forecast of the medium-term 19 and long-term wind power by using the uncertain data from an online supervisory control and data 20 acquisition (SCADA) system and the  ...  In 24 addition, the T2FNN-PSO can appropriately handle the uncertainties associated with the measured 24 and operation of power systems [1]. 25 Recently, a large number of methods have been presented to  ...  Eleanor neighborhood of Summerside, Prince Edward 5 Island, Canada.  ... 
doi:10.1016/j.renene.2017.12.023 fatcat:i5uv6cfy35anbhmi6sni5c5fa4
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