INSTITUTE OF MATHEMATICS

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INSTITUTE OF MATHEMATICS. Section of applied algebra and geometry 1 professor, 3 associate professors, 6 lecturers Section of computer graphics and geometry 1 professor, 1 associate professor, 5 lecturers Section of applied analysis 1 professor, 3 associate professors, 7 lecturers - PowerPoint PPT Presentation

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  • INSTITUTE OF MATHEMATICSSection of applied algebra and geometry 1 professor, 3 associate professors, 6 lecturers

    Section of computer graphics and geometry1 professor, 1 associate professor, 5 lecturers

    Section of applied analysis1 professor, 3 associate professors, 7 lecturers

    Section of stochastic and optimization methods1 professor, 2 associate professors, 4 lecturersSections

  • TeachingBasic mathematical courses offered at the Faculty of Mechanical Engineering including linear algebra analytic geometry calculus numerical methods constructive geometry and computer graphics differential equations infinite series probability and statisticsSpecial field of Mathematical Engineeringfor engineers with extended theoretical background based on mathematics and computer science

    Other disciplines of applied mathematicsfor individual specializations of Masters degree programmes at the Faculty of Mechanical EngineeringINSTITUTE OF MATHEMATICS

  • ResearchINSTITUTE OF MATHEMATICSSection of applied algebra and geometryApplied linear algebra

    Differential geometry and its applications

    Coalgebras and their applications

    Digital topology

    Local algebras

    Methods of commutative algebra in differential geometry

    General algebraic systems and their applications in computer science

    Topological structures on categories

  • GAR Grant GA201/00/1466 Continuous and Set-Theoretic Methods in Topological and Algebraic Structures GAR Grant GA201/03/0933 Set-Theoretic and Categorial Methods in Topological and Algebraic Structures MMT Research Plan MSM0021630518 Simulation Modelling of Mechatronic Systems

    GAR Grant GA201/02/0225 (2002-2004) Elongation of Geometric structures

    GAR Grant GA201/05/0523 (2005-2007) Geometric Structures on Fibred Varieties

    GAR Grant GA201/04/0381 (2004-2006) Methods of Theory of NumbersProjects implementedINSTITUTE OF MATHEMATICSSection of applied algebra and geometry

  • CooperationMasaryk University in Brno Technische Universitt Wien (Austria)

    Universitt Potsdam (Germany)

    Universita degli Studi dell'Aquila (Italy)

    Dalhousie University in Halifax (Canada)

    Science University of Tokyo (Japan)

    INSTITUTE OF MATHEMATICSSection of applied algebra and geometry

  • Samples of problems investigatedModelling the structuring of a digital plane using a new Alexandrov topology closed points are encircled. This topology offers a range of Jordan curves which is wider than that based on the commonly used Khalimsky topology. In particular, it lets curves bend at an angle of /4.INSTITUTE OF MATHEMATICSSection of applied algebra and geometry

  • Finding the minimum route on a smooth variety with respect to a given metric is among the basic variational problems. This is closely related to parallel transfer of vectors (see the figure) and eventually leads to the definition of a negative connection.INSTITUTE OF MATHEMATICSSection of applied algebra and geometrySamples of problems investigated

  • INSTITUTE OF MATHEMATICSSection of Applied AnalysisMathematical problems in modelling composite materials using a method of homogenization

    Adapting the method of reliable solution (method of the worst scenario) for problems of homogenization with uncertain data

    Quasi-periodic and random structures, generating, analysis

    Developing tools of functional analysis and theory of function spaces for analysing mathematical models method of two-scale convergence

    Devising numerical methods for flow calculation

    Investigating qualitative properties of the solution of functional-differential equations, differential and difference equations with a lag

    Theory of dynamic equations on time scales and their applications

    Solution of selected problems of optimal controlResearch

  • GAR Grant GA201/01/0079 (2001-2003) Qualitative Theory of Solutions of Differential Equations

    GAR Grant GA201/00/0557 (2000-2002) Mathematical Modelling of Some Nonlinear Problems of the Mechanics of Continuum

    GAR Grant GA201/03/0570 (2003-2005) Mathematical Modelling of Some Nonlinear Problems of the Mechanics of Continuum

    GA AVR Grant IAA1163401 (2004-2006) Limit Properties of the Solutions of Differential Equations

    MMT R Research Plan MSM0021630518 (2005-until now) Simulation Modelling of Mechatronic Systems

    INSTITUTE OF MATHEMATICSSection of Applied AnalysisProjects implemented

  • Universit Pierre et Marie Curie, Paris (France)

    Chalmers University of Technology, Gteborg (Sweden)

    Technische Universitt Hamburg-Harburg (Germany)

    Universiteit Gent (Belgium)INSTITUTE OF MATHEMATICSSection of Applied AnalysisCooperation

  • Numerical solution corresponding to two-component periodic composite material with sixteen circular reinforcementsCorresponding numerical homogenized solution pertaining to homogeneous materialHomogenization (replacing strongly heterogeneous material by fictional material homogeneous in terms of identical macroscopic properties) second order elliptic equations in 2D with a homogeneous Dirichlet boundary conditionINSTITUTE OF MATHEMATICSSection of Applied AnalysisSamples of problems investigated

  • The temperature field of the piston of a Diesel engine (finite-element method)INSTITUTE OF MATHEMATICSSection of Applied AnalysisSamples of problems investigated

  • INSTITUTE OF MATHEMATICSSection of Stochastic and Optimization MethodsStochastic computing models for determining the reliability of systems, statistical models of forming processes, generalized regression linear models and classification qualityEstimates of discrete probability distributions under external conditions, multi-dimensional probability distributions and their propertiesMarkov homogeneous and non-homogeneous chains in qualityFuzzy probability, fuzzy random variables, and fuzzy probability distributions, reliability models of elements and systems with vague information, fuzzy clustering and time series prediction in power engineering and finance, fuzzy metric spaces and their applications to databases with vague informationReliability diagnostic supporting nuclear power station blocks controlStochastic optimization and its application in mechanical and civil engineeringOptimization algorithms and applications in technology, foundry, and water managementApplication of statistical methods in metrology, production process control, materials engineering, and medicineResearch

  • MMT R Research 1M06047 Centre for the Quality and Reliability of Production (CQR)MMT R Research Plan CEZ: J22/98: 261100009 Non-traditional Methods of Investigating Complex and Uncertain Systems GAR Grant GA103/05/0292 Optimizing the Design of Progressive Concrete StructuresState project FF-P114 Research and Development of an Advanced Probability Model With Accumulated Knowledge Base of an Experienced Industrial Operator With Focus on the Operation of the VVER-Type Nuclear Power PlantsIGA MZ R Grant ND 7134-3 Possibilities of Significantly Affecting the Intra-Abdominal Pressure After Operations of the Aboral and Gastrointestinal Tract By Enteral Feeding Applied through a Three-Luminal ProbeGAR Grant Project GA101/00/0170 Transferability of the Fracture Strength In Terms of Evaluating the Integrity of Components with DefectsFRV Project 1746/2002 Materials Science interactive textbookCooperation on international projects COST-APOMAT OC526, EUREKA COOP 2716, EUREKA E! 2914 FGM, NAZV EP 096000 6151INSTITUTE OF MATHEMATICSSection of Stochastic and Optimization MethodsProjects implemented

  • University of Malta (stochastic, dynamic and integer optimization)Molde University College (optimization algorithms)Nuclear Research Institute at Dukovany (development of a supporting diagnostic system of the states of a nuclear block)BUT FCE Institute of Concrete and Masonry Structures (optimization and reliability of progressive concrete structures)Faculty of Medicine of Masaryk University in Brno (statistical modelling of intra-abdominal pressure after operation)Cardiochronomics Brno (statistical analysis in cardiology and chronobiology in cooperation with the University of Minnesota)Institute of Physics of Material, Academy of Sciences R (stochastic modelling of fracture strength characteristics)SC&C Partner (statistical methods in quality control)Consulting in mathematical applications for the following companies: Alcan Dn, Alstom Power, Barum Continental, Celestica Czech Republic, Invensys Appliance Controls, LG Philips Displays Czech, METAL st n.L., Schneider Electric, Siemens, Kostal etc.INSTITUTE OF MATHEMATICSSection of Stochastic and Optimization MethodsCooperation

  • Estimates of discrete probability distributions using Hellingers and Shannons quasinorms under secondary moment conditions determined from real statistical dataINSTITUTE OF MATHEMATICSSection of Stochastic and Optimization MethodsResearch

    Graf5

    58.57135547.08374066.81406616.94048575.1242524

    128.57135547.50590917.47184057.361397611.5671081

    78.57135547.96671158.11412357.97160957.3006744

    58.57135548.47120928.71425528.68987165.6411748

    98.57135549.02567579.24309729.37946637.7375634

    148.57135549.63618579.67094719.835112214.8175968

    88.571355410.31056829.97167059.82205717.8116302

    Orig.

    K=0

    K=1

    K=2

    K=3

    K=4

    Center of class

    Frequencies

    Hellinger quasi-norm estimate

    List1

    xffxfx^2fx^3fx^4Hellinger

    1555558.57135548.57135548.57135548.57135548.57135548.57135548.5713554

    2122448961927.08374067.50590917.96671158.47120929.02567579.636185710.3105682

    3721631895676.81406617.47184058.11412358.71425529.24309729.67094719.9716705

    45208032012806.94048577.36139767.97160958.68987169.37946639.83511229.8220571

    5945225112556255.124252411.56710817.30067445.64117487.737563414.81759687.8116302

    61484504302418144

    7856392274419208Shannon

    25513177503450218.57143088.5714298.5714298.5714298.5714298.57142668.5714266

    n607.04602927.50207657.98751338.50436819.05477069.640743810.2644986

    M016.80390397.48147088.12491328.71494219.23242789.65988799.9824543

    M14.256.94412377.35294987.97261298.6975769.38024079.82684769.8256493

    M221.955.102802111.63391247.28840655.45120798.034781614.63681237.8520771

    M3125.05

    M4750.35Pearson

    8.57142868.57143018.57142838.57142738.57142738.57142838.5714301

    7.18605247.52494017.91678938.37700818.92811159.604580810.4625178

    6.84789077.44340458.0744798.70663519.28081549.71618139.930594

    6.9316677.38130597.97081268.67034999.376019.8571489.8127065

    5.176375311.39524887.37812686.00749917.110624515.20925067.7228748

    List1

    000000

    000000

    000000

    000000

    000000

    000000

    000000

    Orig.

    K=0

    K=1

    K=2

    K=3

    K=4

    Stedy td

    etnosti

    Odhad pomoc Hellingerovy kvazinormy

    List2

    000000

    000000

    000000

    000000

    000000

    000000

    000000

    Orig.

    K=0

    K=1

    K=2

    K=3

    K=4

    Stedy td

    etnosti

    Odhad pomoc Shannonovy kvazinormy

    List3

    000000

    000000

    000000

    000000

    000000

    000000

    000000

    Orig.

    K=0

    K=1

    K=2

    K=3

    K=4

    Stedy td

    etnosti

    Odhad pomoc Pearsonovy kvazinormy

    Graf6

    58.57143087.04602926.80390396.94412375.1028021

    128.5714297.50207657.48147087.352949811.6339124

    78.5714297.98751338.12491327.97261297.2884065

    58.5714298.50436818.71494218.6975765.4512079

    98.5714299.05477069.23242789.38024078.0347816

    148.57142669.64074389.65988799.826847614.6368123

    88.571426610.26449869.98245439.82564937.8520771

    Orig.

    K=0

    K=1

    K=2

    K=3

    K=4

    Center of class

    Frequencies

    Shannon quasi-norm estimate

    List1

    xffxfx^2fx^3fx^4Hellinger

    1555558.57135548.57135548.57135548.57135548.57135548.57135548.5713554

    2122448961927.08374067.50590917.96671158.47120929.02567579.636185710.3105682

    3721631895676.81406617.47184058.11412358.71425529.24309729.67094719.9716705

    45208032012806.94048577.36139767.97160958.68987169.37946639.83511229.8220571

    5945225112556255.124252411.56710817.30067445.64117487.737563414.81759687.8116302

    61484504302418144

    7856392274419208Shannon

    25513177503450218.57143088.5714298.5714298.5714298.5714298.57142668.5714266

    n607.04602927.50207657.98751338.50436819.05477069.640743810.2644986

    M016.80390397.48147088.12491328.71494219.23242789.65988799.9824543

    M14.256.94412377.35294987.97261298.6975769.38024079.82684769.8256493

    M221.955.102802111.63391247.28840655.45120798.034781614.63681237.8520771

    M3125.05

    M4750.35Pearson

    8.57142868.57143018.57142838.57142738.57142738.57142838.5714301

    7.18605247.52494017.91678938.37700818.92811159.604580810.4625178

    6.84789077.44340458.0744798.70663519.28081549.71618139.930594

    6.9316677.38130597.97081268.67034999.376019.8571489.8127065

    5.176375311.39524887.37812686.00749917.110624515.20925067.7228748

    List1

    000000

    000000

    000000

    000000

    000000

    000000

    000000

    Orig.

    K=0

    K=1

    K=2

    K=3

    K=4

    Stedy td

    etnosti

    Odhad pomoc Hellingerovy kvazinormy

    List2

    000000

    000000

    000000

    000000

    000000

    000000

    000000

    Orig.

    K=0

    K=1

    K=2

    K=3

    K=4

    Stedy td

    etnosti

    Odhad pomoc Shannonovy kvazinormy

    List3

    000000

    000000

    000000

    000000

    000000

    000000

    000000

    Orig.

    K=0

    K=1

    K=2

    K=3

    K=4

    Stedy td

    etnosti

    Odhad pomoc Pearsonovy kvazinormy

  • Program for generating fuzzy reliability characteristics of a fuzzy Weibull type B distributionINSTITUTE OF MATHEMATICSSection of Stochastic and Optimization MethodsResearch

  • Non-hierarchicalclustering of fuzzy objectsHierarchicalclustering of fuzzy objectsINSTITUTE OF MATHEMATICSSection of Stochastic and Optimization MethodsResearch

  • Predicting time-dependent energy consumption using a fuzzy model of a time seriesINSTITUTE OF MATHEMATICSSection of Stochastic and Optimization MethodsResearch

  • Using fuzzy sets to predict the energy consumption of the city of Olomouc as compared with other predictions using other methods: neural networks and statistical methods Approximating the test strength for determining a sufficient sample size in an experiment plan [n, U, n] to determine object reliabilitiesINSTITUTE OF MATHEMATICSSection of Stochastic and Optimization MethodsResearch

    Graf4

    128.12

    129.08

    123.59

    121.37

    122.6

    122.29

    128.53

    123.45

    90.53

    87.9787.9787.9787.97

    88.288.5681.92531687.7392

    91.1390.5189.0781489.7976

    93.9188.1187.40969894.7308

    102.2610574.54853198.0981

    105.47107.5396.420441102.2578

    133.75130.63121.539886124.152

    170.19166.2145.172653146.7131

    158.45165.78141.982819169.7009

    142.44161.66121.389229175.7557

    144163.29136.422531146.4262

    140.14152.09116.861061132.9312

    141.92148.06101.098328146.3446

    131.28152.73113.843788156.4428

    125.07143.2593.267738138.8603

    118.5139.63107.34565124.2249

    127.66140.59121.001831119.6387

    119.15135.1120.81736140.0189

    119.74132.29120.911224144.2506

    118.83134.1120.946861114.9181

    126.8133.8129.03952107.4569

    131.89140.04142.275925132.0831

    126.74134.96110.971436136.6619

    98.96102.0479.474037108.3589

    91.9299.4881.63832990.7205

    93.42100.0776.58632796.9633

    92.8102.0176.79862295.7621

    102.7799.6276.9620996.3117

    102.49116.582.05970897.2558

    110.46119.03102.568527102.2367

    136.24142.13106.470749120.1918

    170.66177.71123.038322147.3759

    161.77177.29123.859985167.5111

    165.01173.16113.696571167.9889

    154.41174.79120.709587151.9584

    154.01163.59111.740341145.327

    154.01159.56105.553642165.5843

    154.18164.23105.481438167.688

    144.07154.75101.638535151.1335

    120.34151.1194.298058137.3295

    134.79152.09101.812973127.4965

    131.28146.699.820091134.0559

    124.03144.3892.586029134.6813

    125.43145.61101.30291118.6196

    132.86145.29101.358604119.3343

    133.45151.53120.914368143.7085

    126.25146.4592.149323144.2999

    101.26113.5381.563187123.9679

    100.06110.9776.62545112.0267

    Real

    Pred.BJ

    Pred.NN

    Pred FL

    List1

    RealPred.BJPred NNPred FL0Pred FL1Pred FL2MAPE BJMAPE NNMAPE FL0MAPE FL1MAPE FL2TlakTeplotaVitrCorel-AMCorel-ANCorel-AO

    480.0900.1690.1940.1400.0780.743.703.000.00124-0.02644-0.11239

    470.0800.1170.2120.1420.0800.713.703.00

    510.743.701.90

    510.763.903.30

    540.724.103.40

    860.764.002.90

    900.754.203.30

    830.774.103.70

    770.743.904.70

    800.744.104.50

    890.714.503.70

    750.744.805.80

    810.735.304.90

    740.766.005.50

    690.737.105.10

    770.778.305.30

    710.749.206.90

    770.737.208.80

    880.725.809.00

    860.775.307.60

    860.765.508.30

    840.765.607.40

    620.745.606.10

    660.725.009.30

    620.725.308.00

    640.744.703.90

    620.764.803.70

    630.753.902.60

    690.704.602.00

    1000.804.201.80

    1460.734.002.80

    1500.753.903.70

    1370.783.801.10

    1240.774.701.70

    1110.776.305.50

    1210.694.204.40

    1040.798.104.60

    950.778.305.20

    850.747.003.10

    890.726.602.60

    850.746.701.80

    880.755.702.60

    840.765.203.40

    910.723.502.70

    890.732.202.90

    840.741.501.70

    840.741.001.80

    640.761.301.90

    670.781.402.30

    670.761.602.50

    670.761.902.50

    690.752.303.20

    820.772.203.00

    840.761.400.90

    1450.782.201.00

    1520.762.301.70

    1350.733.001.30

    1330.774.601.60

    1240.795.104.20

    1040.726.103.80

    1120.756.804.30

    1080.746.904.40

    1010.736.903.70

    1010.796.901.60

    910.746.903.40

    910.746.702.80

    920.776.503.70

    880.776.501.50

    970.776.602.10

    940.746.201.30

    820.776.403.50

    620.776.203.60

    680.766.103.40

    600.765.904.20

    690.755.804.80

    680.745.503.30

    790.755.502.30

    1110.795.101.60

    1460.735.102.90

    1440.774.801.20

    1310.765.102.00

    1190.775.301.70

    1160.765.501.90

    1120.765.901.80

    1190.726.201.30

    1090.746.200.80

    900.736.400.00

    920.736.400.80

    860.746.201.40

    840.725.901.60

    860.705.600.90

    890.715.401.30

    850.715.301.20

    750.725.101.40

    740.735.202.50

    700.725.203.00

    680.764.802.50

    640.754.600.90

    620.744.301.00

    670.724.402.30

    790.714.902.70

    1120.754.602.70

    1410.774.702.60

    1430.784.802.20

    1350.744.903.00

    1300.746.204.30

    1710.684.705.70

    1060.845.306.60

    1190.736.206.00

    1060.797.105.10

    1020.786.404.20

    940.746.003.50

    950.795.303.70

    960.734.503.40

    950.743.603.00

    990.742.905.00

    930.752.604.10

    900.732.003.10

    710.720.703.10

    690.741.402.40

    670.710.802.50

    680.720.302.90

    670.730.102.90

    840.69-0.402.10

    810.71-0.501.80

    1060.800.003.00

    1410.720.402.90

    1520.750.904.90

    1360.751.205.00

    1300.751.904.40

    1270.753.603.10

    1030.745.904.60

    1060.807.305.50

    900.758.404.80

    840.738.905.20

    810.748.004.00

    810.747.204.10

    830.727.503.40

    920.737.604.60

    870.746.302.40

    860.735.803.60

    760.756.704.40

    830.765.704.90

    620.794.403.00

    590.784.504.20

    570.762.702.20

    590.742.802.40

    630.773.002.50

    670.762.202.30

    780.752.703.20

    1000.802.203.60

    920.732.003.60

    940.741.501.60

    840.754.303.10

    770.725.403.10

    850.746.303.10

    680.726.504.50

    800.757.004.40

    800.787.203.90

    640.716.503.50

    800.724.701.80

    830.733.301.30

    820.752.700.70

    950.742.601.40

    880.751.800.60

    900.750.700.00

    690.780.300.00

    650.77-0.400.80

    640.74-0.500.50

    640.74-0.901.00

    610.74-1.300.80

    650.76-1.600.00

    700.74-2.200.80

    760.75-2.000.00

    1110.73-2.101.10

    1070.73-2.300.00

    980.74-1.200.70

    970.73-0.300.00

    930.720.200.70

    840.731.601.10

    830.733.801.70

    840.714.801.20

    790.734.700.90

    850.713.901.40

    920.712.101.20

    930.701.001.40

    920.711.300.90

    880.720.501.10

    980.710.100.00

    900.72-0.301.00

    740.73-0.301.50

    770.75-0.400.00

    780.76-0.401.20

    750.73-0.401.40

    710.75-0.401.20

    840.72-0.200.80

    870.750.000.60

    1100.73-0.201.60

    1420.760.300.60

    1500.720.601.00

    1490.741.100.00

    1390.741.601.10

    1350.742.000.60

    1140.743.000.80

    1260.723.801.30

    1160.733.900.00

    1000.754.500.70

    1000.734.301.40

    940.723.700.90

    960.723.400.60

    940.713.401.60

    910.713.400.70

    940.713.501.30

    900.713.702.50

    640.803.802.60

    660.743.902.10

    740.734.002.30

    710.714.102.70

    730.744.302.00

    760.714.502.70

    830.764.702.90

    1180.744.802.10

    1450.735.002.00

    1330.785.102.20

    1290.745.302.00

    1310.785.602.00

    1220.775.601.30

    1170.766.101.90

    1150.766.502.40

    1130.736.603.00

    1020.746.500.80

    940.765.800.80

    950.765.701.60

    920.765.801.00

    960.736.302.00

    1000.726.102.00

    940.735.901.80

    900.745.900.00

    750.755.800.00

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  • Adaptive filters for visualizing images with high dynamic content

    Numerical methods of solar spectrum analysis, solar corona images (in cooperation with the pice Observatory, the Slovak Academy of Sciences, and the Ondejov Observatory)

    Methods of 3D reconstruction of images from the classic, confocal, and tunnelling microscope (in cooperation with the Faculty of Medicine of Masaryk University in Plze)

    Fast algorithms of computer graphics

    Methods of image registration based on phase correlation and their applications

    Applications of digital topology and fractal geometry in image analysis

    Numerical methods of human retina analysis

    Engineering applications of constructive geometry, multi-valued logic in system controlINSTITUTE OF MATHEMATICSSection of Computer Graphics and GeometryResearch

  • FRV project 374/2002 Multimedia support of the Structure and Composition of Foodstuffs course

    FRV project 855/2005 Interactive textbook for the Structure and Composition of Foodstuffs course

    FRV project 3323/2006 Electronic support of the Mathematical Maple Calculations courseINSTITUTE OF MATHEMATICSSection of Computer Graphics and GeometryProjects implemented

  • University of Veterinary and Pharmaceutical Sciences Brno (numerical methods of image analysis histological examination of foodstuffs)Faculty of Medicine of Masaryk University in Brno (numerical methods of analysis of the human retina)Institute of Physics at the BUT Faculty of Civil Engineering (fractal analysis of the fracture surfaces of building materials)The pice Observatory (numerical methods of solar corona analysis)Astronomic Institute of the Slovak Academy of Sciences at Tatransk Lomnica (numerical methods of image analysis) Astronomic Institute of the Czech Academy of Sciences at Ondejov (numerical methods of solar corona analysis)Biological Institute at the Faculty of Medicine of Charles University in Plze (numerical methods of confocal microscopy) INSTITUTE OF MATHEMATICSSection of Computer Graphics and GeometryCooperation

  • The solar corona during the total eclipse of 29th March 2006 reconstructed from 51 images and visualised by newly developed adaptive filters. The image significantly exceeds the capacities of the state-of-the-art space probesINSTITUTE OF MATHEMATICSSection of Computer Graphics and GeometrySamples of problems investigated

  • Dopplergramme of a part of the solar chromosphere obtained by analyzing a series of images of the H-alpha absorption line.

    INSTITUTE OF MATHEMATICSSection of Computer Graphics and GeometrySamples of problems investigated

  • A new exact numerical method for determining the absorption of the light radiated by the solar photosphere in the hydrogen H-alpha lineINSTITUTE OF MATHEMATICSSection of Computer Graphics and GeometrySamples of problems investigated

  • New numerical methods for analyzing pictures of human retinaINSTITUTE OF MATHEMATICSSection of Computer Graphics and GeometrySamples of problems investigated

  • Numerical methods for identifying and analyzing bone splinters in meat foodstuff productsINSTITUTE OF MATHEMATICSSection of Computer Graphics and GeometrySamples of problems investigated

  • software reconstructionphotograph of a real objectNumerical methods developed for processing optical sections obtained form devices with narrow sharpness band.Using software tools based on state-of-the-art numerical methods of image analysis, not only a sharp image can be obtained but also a 3D object almost undistinguishable from the real one. INSTITUTE OF MATHEMATICSSection of Computer Graphics and GeometrySamples of problems investigated

  • The new methods of processing transparent optical sections from a confocal microscope facilitate a detailed study of the cell morphology and provide a virtual tour of their interiorsINSTITUTE OF MATHEMATICSSection of Computer Graphics and GeometrySamples of problems investigated

  • Using measure-theory-based algorithms, the fractal dimension of microscopic samples can be determined with increasing precisionINSTITUTE OF MATHEMATICSSection of Computer Graphics and GeometrySamples of problems investigated

  • INSTITUTE OF MATHEMATICSThank you for your attention