SlideShare a Scribd company logo
1 of 6
COMPUTER COLOUR MATCHING STEPS TO
PREDICT CONCENTRATION
CHAPTER-8
Granch Berhe
Correction to predicted Recipe
• The correction can be applied in different ways. The important methods are:
• i. numerical increments in connection of each dye
• ii. correction by using the differential of K-M function of standard color
w.r.t. Reflectance
A. Numerical increments in connection of each dye
• In this method the concentration of dyes are increased by 1% of computed
concentration successively for each dye and tristimulus values are computed
each time using 16 equations
• sample Concentration Color coordinate’s
• Standard - Xt Yt Zt
• fiber program C1 C2 C3 X0 Y0
• predated c2 c3X1 Y1 Z1
• Predated C1 c2+0.01c2 c3 X2 Y2 Z2
• Predated C1 c2 c3+0.01c3 X3 Y3 Z3
B. Using of differentiation of Reflectance
The differentiation of reflectance of the target and standard provides a method
to reach to correct recipe with minimum iterations.
Color Matching Using Sixteen Points Reflectance Data
The Present computational mentods use 16 wavelengths data for determining
color recipe for a given shade. CHE color parameters of customer standard are
determined by its spectral rteckeetance values, which in turn depend on
concentration of each dye for three dyes combination we have:
• X = F2 (c1,c2,c3)
• Y = F2(c1,c2,C3)
• Z= F3 (c1,c2,c3)
• Where:
• F1,F2,F3 are non –linear functions of dyestuff concentrations
• The linearization of equations result inherent inaccuracies, and therefore
concentration computed ar first retail will have more of less errop. The first
solution can be improved by iteration method. Thus even for 16-point
computations the determnunations of color recipe are carried out in two ways
– Determination of initial recipe
– Improvement solution by iteration
Read XYZ of standard & data for
dyes & substrates
Select appropriate combinations of dyes
Negative concentration or out side tolerance?
Calculate reflectance curve and XYZ of sample
Compare XYZ of standard ,close enough
Calculate
Correction to
concentration
Calculate color difference for different illuminants, metamersim, cost of dyes.
Calculation is made for all possible combinations from selected dyes?
Print out results
Steps to Predict Concentration
A/ 1. Measure reflectance of target standard
2. Measure reflectance of subs trace
3. Calculate K .M Function of Standard
4. Calculate K.M function of subs tract
B/ Take optical data of three dyes for calculating recipe at 16 wavelengths
C/ 1. Identify Smax and (K/S/ Max, and f(Rframex path) mx surs.
2. Represent K.M function with variables for both standard and subs tract
3. Form a mate
4. Solve c1,C2$C3
D/ 1. Calculate K.M function of the sample ( dye mixture ) a 16 wake length data
2. calculate Refraction of the sample ( dye mixture) a 16 wow length data
E/ 1. Calculate Tristumalus malue of standard
2. calculate Tristimulus value of dye mixture ( sample)
F/ 1. Apply color Difference formula
2. Indicate the lightless, red greenness & Blue yellow CASs of the sample
3. Take correction
4. fist give over covert ion
Steps to Predict Concentration
A/ 1. Measure reflectance of target standard
2. Measure reflectance of subs trace
3. Calculate K .M Function of Standard
4. Calculate K.M function of subs tract
B/ Take optical data of three dyes for calculating recipe at 16 wavelengths
C/ 1. Identify Smax and (K/S/ Max, and f(Rframex path) mx surs.
2. Represent K.M function with variables for both standard and subs tract
3. Form a mate
4. Solve c1,C2$C3
D/ 1. Calculate K.M function of the sample ( dye mixture ) a 16 wake length data
2. calculate Refraction of the sample ( dye mixture) a 16 wow length data
E/ 1. Calculate Tristumalus malue of standard
2. calculate Tristimulus value of dye mixture ( sample)
F/ 1. Apply color Difference formula
2. Indicate the lightless, red greenness & Blue yellow CASs of the sample
3. Take correction
4. fist give over covert ion
Steps to Predict Concentration

More Related Content

What's hot

Construction of calibration curve for uv-spectroscopic analysis of Paracetamol.
Construction of calibration curve for uv-spectroscopic analysis of Paracetamol.Construction of calibration curve for uv-spectroscopic analysis of Paracetamol.
Construction of calibration curve for uv-spectroscopic analysis of Paracetamol.Protik Biswas
 
Determination of the potency of Paracetamol (Napa) tablet by UV-Spectrophoto...
Determination of the potency of Paracetamol (Napa) tablet  by UV-Spectrophoto...Determination of the potency of Paracetamol (Napa) tablet  by UV-Spectrophoto...
Determination of the potency of Paracetamol (Napa) tablet by UV-Spectrophoto...Protik Biswas
 
IOSR Journal of Pharmacy (IOSRPHR), www.iosrphr.org, call for paper, research...
IOSR Journal of Pharmacy (IOSRPHR), www.iosrphr.org, call for paper, research...IOSR Journal of Pharmacy (IOSRPHR), www.iosrphr.org, call for paper, research...
IOSR Journal of Pharmacy (IOSRPHR), www.iosrphr.org, call for paper, research...iosrphr_editor
 
SPECTROSCOPIC METHOD DEVELOPMENT FOR LOSARTON POTASSIUM IN TABLET By Ninad M...
SPECTROSCOPIC METHOD DEVELOPMENT FOR LOSARTON POTASSIUM IN TABLET  By Ninad M...SPECTROSCOPIC METHOD DEVELOPMENT FOR LOSARTON POTASSIUM IN TABLET  By Ninad M...
SPECTROSCOPIC METHOD DEVELOPMENT FOR LOSARTON POTASSIUM IN TABLET By Ninad M...Ninad Phadke
 
LABORATORY CALCULATIONS & PROCEDRES
LABORATORY CALCULATIONS & PROCEDRESLABORATORY CALCULATIONS & PROCEDRES
LABORATORY CALCULATIONS & PROCEDRESAbu Sayed
 
Demosaicing of images for bayer cfa using projection algorithm
Demosaicing of images for bayer cfa using projection algorithmDemosaicing of images for bayer cfa using projection algorithm
Demosaicing of images for bayer cfa using projection algorithmeSAT Publishing House
 

What's hot (9)

right first time dyeing
right first time dyeingright first time dyeing
right first time dyeing
 
Construction of calibration curve for uv-spectroscopic analysis of Paracetamol.
Construction of calibration curve for uv-spectroscopic analysis of Paracetamol.Construction of calibration curve for uv-spectroscopic analysis of Paracetamol.
Construction of calibration curve for uv-spectroscopic analysis of Paracetamol.
 
Lab dip
Lab dipLab dip
Lab dip
 
Determination of the potency of Paracetamol (Napa) tablet by UV-Spectrophoto...
Determination of the potency of Paracetamol (Napa) tablet  by UV-Spectrophoto...Determination of the potency of Paracetamol (Napa) tablet  by UV-Spectrophoto...
Determination of the potency of Paracetamol (Napa) tablet by UV-Spectrophoto...
 
IOSR Journal of Pharmacy (IOSRPHR), www.iosrphr.org, call for paper, research...
IOSR Journal of Pharmacy (IOSRPHR), www.iosrphr.org, call for paper, research...IOSR Journal of Pharmacy (IOSRPHR), www.iosrphr.org, call for paper, research...
IOSR Journal of Pharmacy (IOSRPHR), www.iosrphr.org, call for paper, research...
 
SPECTROSCOPIC METHOD DEVELOPMENT FOR LOSARTON POTASSIUM IN TABLET By Ninad M...
SPECTROSCOPIC METHOD DEVELOPMENT FOR LOSARTON POTASSIUM IN TABLET  By Ninad M...SPECTROSCOPIC METHOD DEVELOPMENT FOR LOSARTON POTASSIUM IN TABLET  By Ninad M...
SPECTROSCOPIC METHOD DEVELOPMENT FOR LOSARTON POTASSIUM IN TABLET By Ninad M...
 
LABORATORY CALCULATIONS & PROCEDRES
LABORATORY CALCULATIONS & PROCEDRESLABORATORY CALCULATIONS & PROCEDRES
LABORATORY CALCULATIONS & PROCEDRES
 
50220130402002
5022013040200250220130402002
50220130402002
 
Demosaicing of images for bayer cfa using projection algorithm
Demosaicing of images for bayer cfa using projection algorithmDemosaicing of images for bayer cfa using projection algorithm
Demosaicing of images for bayer cfa using projection algorithm
 

Viewers also liked

Color fastness properties of different reactive dyes
Color fastness properties of different reactive dyesColor fastness properties of different reactive dyes
Color fastness properties of different reactive dyesAzmir Latif Beg
 
3. causes of color and their mechanism
3. causes of color  and  their mechanism3. causes of color  and  their mechanism
3. causes of color and their mechanismGhent University
 
Colour technology
Colour technologyColour technology
Colour technologyJunaid Khan
 
6. colour difference measurement
6. colour difference measurement6. colour difference measurement
6. colour difference measurementGhent University
 
9. other technical textiles
9. other technical textiles9. other technical textiles
9. other technical textilesGhent University
 
Removal of colour and turbidity (coagulation, flocculation filtration)
Removal of colour and turbidity (coagulation, flocculation  filtration)Removal of colour and turbidity (coagulation, flocculation  filtration)
Removal of colour and turbidity (coagulation, flocculation filtration)Ghent University
 
4. colour measuring instruments
4. colour measuring instruments4. colour measuring instruments
4. colour measuring instrumentsGhent University
 
1. introduction to preparation and structure of some common dyestuffs
1. introduction  to preparation and structure of some common dyestuffs1. introduction  to preparation and structure of some common dyestuffs
1. introduction to preparation and structure of some common dyestuffsGhent University
 
Textile effluent treatment
Textile effluent treatmentTextile effluent treatment
Textile effluent treatmentGhent University
 
Industrial Textile Processing
Industrial Textile ProcessingIndustrial Textile Processing
Industrial Textile ProcessingAzmir Latif Beg
 

Viewers also liked (20)

2. fundamentals of color
2. fundamentals of color2. fundamentals of color
2. fundamentals of color
 
5. colour order system
5. colour order system5. colour order system
5. colour order system
 
Color fastness properties of different reactive dyes
Color fastness properties of different reactive dyesColor fastness properties of different reactive dyes
Color fastness properties of different reactive dyes
 
1. technical textiles
1. technical textiles1. technical textiles
1. technical textiles
 
3. causes of color and their mechanism
3. causes of color  and  their mechanism3. causes of color  and  their mechanism
3. causes of color and their mechanism
 
8. protective textiles
8. protective textiles8. protective textiles
8. protective textiles
 
6. medical textiles
6. medical textiles6. medical textiles
6. medical textiles
 
Colour technology
Colour technologyColour technology
Colour technology
 
6. colour difference measurement
6. colour difference measurement6. colour difference measurement
6. colour difference measurement
 
9. other technical textiles
9. other technical textiles9. other technical textiles
9. other technical textiles
 
Removal of colour and turbidity (coagulation, flocculation filtration)
Removal of colour and turbidity (coagulation, flocculation  filtration)Removal of colour and turbidity (coagulation, flocculation  filtration)
Removal of colour and turbidity (coagulation, flocculation filtration)
 
7. metamerism
7. metamerism7. metamerism
7. metamerism
 
10. smart textiles
10. smart textiles10. smart textiles
10. smart textiles
 
7. military textiles
7. military textiles7. military textiles
7. military textiles
 
4. colour measuring instruments
4. colour measuring instruments4. colour measuring instruments
4. colour measuring instruments
 
1. introduction to preparation and structure of some common dyestuffs
1. introduction  to preparation and structure of some common dyestuffs1. introduction  to preparation and structure of some common dyestuffs
1. introduction to preparation and structure of some common dyestuffs
 
Textile effluent treatment
Textile effluent treatmentTextile effluent treatment
Textile effluent treatment
 
Flat Knitting Machine
Flat Knitting MachineFlat Knitting Machine
Flat Knitting Machine
 
Color fastness of dyed goods .
Color fastness of dyed goods .Color fastness of dyed goods .
Color fastness of dyed goods .
 
Industrial Textile Processing
Industrial Textile ProcessingIndustrial Textile Processing
Industrial Textile Processing
 

Similar to 8. computer colour matching steps to predict concentration

K-M analysis applied to droplet-color variation
K-M analysis applied to droplet-color variationK-M analysis applied to droplet-color variation
K-M analysis applied to droplet-color variationRobert Cornell
 
Multiscale Gradient Based – Directional CFA Interpolation with Refinement
Multiscale Gradient Based – Directional CFA Interpolation with RefinementMultiscale Gradient Based – Directional CFA Interpolation with Refinement
Multiscale Gradient Based – Directional CFA Interpolation with RefinementIJTET Journal
 
Color
ColorColor
ColorFNian
 
Quantitation techniques used in chromatography
Quantitation techniques used in chromatographyQuantitation techniques used in chromatography
Quantitation techniques used in chromatographyVrushali Tambe
 
Audio Processing
Audio ProcessingAudio Processing
Audio Processinganeetaanu
 
RP BASED OPTIMIZED IMAGE COMPRESSING TECHNIQUE
RP BASED OPTIMIZED IMAGE COMPRESSING TECHNIQUERP BASED OPTIMIZED IMAGE COMPRESSING TECHNIQUE
RP BASED OPTIMIZED IMAGE COMPRESSING TECHNIQUEprj_publication
 
Nist developmentof colorqualityscale
Nist developmentof colorqualityscaleNist developmentof colorqualityscale
Nist developmentof colorqualityscaledreamer1104
 
microptix_aricle_pg_32-33(2)
microptix_aricle_pg_32-33(2)microptix_aricle_pg_32-33(2)
microptix_aricle_pg_32-33(2)Joseph E. Johnson
 
videoMotionTrackingPCA
videoMotionTrackingPCAvideoMotionTrackingPCA
videoMotionTrackingPCAKellen Betts
 
Technical Report - Lamp Performance vs Colour Quality
Technical Report - Lamp Performance vs Colour QualityTechnical Report - Lamp Performance vs Colour Quality
Technical Report - Lamp Performance vs Colour QualityMartin Jesson
 
PREDICTION BASED LOSSLESS COMPRESSION SCHEME FOR BAYER COLOUR FILTER ARRAY IM...
PREDICTION BASED LOSSLESS COMPRESSION SCHEME FOR BAYER COLOUR FILTER ARRAY IM...PREDICTION BASED LOSSLESS COMPRESSION SCHEME FOR BAYER COLOUR FILTER ARRAY IM...
PREDICTION BASED LOSSLESS COMPRESSION SCHEME FOR BAYER COLOUR FILTER ARRAY IM...ijiert bestjournal
 
Aiar. unit v. machine vision 1462642546237
Aiar. unit v. machine vision 1462642546237Aiar. unit v. machine vision 1462642546237
Aiar. unit v. machine vision 1462642546237Kunal mane
 
Sparsity Based Super Resolution Using Color Channel Constraints
Sparsity Based Super Resolution Using Color Channel ConstraintsSparsity Based Super Resolution Using Color Channel Constraints
Sparsity Based Super Resolution Using Color Channel ConstraintsHojjat Seyed Mousavi
 
Uday Kale - Recipe Prediction for Non Textile Application - Datacolor_2.pdf
Uday Kale - Recipe Prediction for Non Textile Application - Datacolor_2.pdfUday Kale - Recipe Prediction for Non Textile Application - Datacolor_2.pdf
Uday Kale - Recipe Prediction for Non Textile Application - Datacolor_2.pdfdbhansali57
 
Image parts and segmentation
Image parts and segmentation Image parts and segmentation
Image parts and segmentation Rappy Saha
 
Correction of Saturated Regions in RGB Color Space
Correction of Saturated Regions in RGB Color Space Correction of Saturated Regions in RGB Color Space
Correction of Saturated Regions in RGB Color Space ijcga
 
Correction of Saturated Regions in RGB Color Space
Correction of Saturated Regions in RGB Color Space Correction of Saturated Regions in RGB Color Space
Correction of Saturated Regions in RGB Color Space ijcga
 
Computer Vision: Feature matching with RANSAC Algorithm
Computer Vision: Feature matching with RANSAC AlgorithmComputer Vision: Feature matching with RANSAC Algorithm
Computer Vision: Feature matching with RANSAC Algorithmallyn joy calcaben
 

Similar to 8. computer colour matching steps to predict concentration (20)

K-M analysis applied to droplet-color variation
K-M analysis applied to droplet-color variationK-M analysis applied to droplet-color variation
K-M analysis applied to droplet-color variation
 
Multiscale Gradient Based – Directional CFA Interpolation with Refinement
Multiscale Gradient Based – Directional CFA Interpolation with RefinementMultiscale Gradient Based – Directional CFA Interpolation with Refinement
Multiscale Gradient Based – Directional CFA Interpolation with Refinement
 
Color
ColorColor
Color
 
COLOR FILTER ARRAY DEMOSAICING USING DIRECTIONAL COLOR DIFFERENCE AND GRADIEN...
COLOR FILTER ARRAY DEMOSAICING USING DIRECTIONAL COLOR DIFFERENCE AND GRADIEN...COLOR FILTER ARRAY DEMOSAICING USING DIRECTIONAL COLOR DIFFERENCE AND GRADIEN...
COLOR FILTER ARRAY DEMOSAICING USING DIRECTIONAL COLOR DIFFERENCE AND GRADIEN...
 
Quantitation techniques used in chromatography
Quantitation techniques used in chromatographyQuantitation techniques used in chromatography
Quantitation techniques used in chromatography
 
Audio Processing
Audio ProcessingAudio Processing
Audio Processing
 
RP BASED OPTIMIZED IMAGE COMPRESSING TECHNIQUE
RP BASED OPTIMIZED IMAGE COMPRESSING TECHNIQUERP BASED OPTIMIZED IMAGE COMPRESSING TECHNIQUE
RP BASED OPTIMIZED IMAGE COMPRESSING TECHNIQUE
 
Nist developmentof colorqualityscale
Nist developmentof colorqualityscaleNist developmentof colorqualityscale
Nist developmentof colorqualityscale
 
microptix_aricle_pg_32-33(2)
microptix_aricle_pg_32-33(2)microptix_aricle_pg_32-33(2)
microptix_aricle_pg_32-33(2)
 
videoMotionTrackingPCA
videoMotionTrackingPCAvideoMotionTrackingPCA
videoMotionTrackingPCA
 
Technical Report - Lamp Performance vs Colour Quality
Technical Report - Lamp Performance vs Colour QualityTechnical Report - Lamp Performance vs Colour Quality
Technical Report - Lamp Performance vs Colour Quality
 
PREDICTION BASED LOSSLESS COMPRESSION SCHEME FOR BAYER COLOUR FILTER ARRAY IM...
PREDICTION BASED LOSSLESS COMPRESSION SCHEME FOR BAYER COLOUR FILTER ARRAY IM...PREDICTION BASED LOSSLESS COMPRESSION SCHEME FOR BAYER COLOUR FILTER ARRAY IM...
PREDICTION BASED LOSSLESS COMPRESSION SCHEME FOR BAYER COLOUR FILTER ARRAY IM...
 
Aiar. unit v. machine vision 1462642546237
Aiar. unit v. machine vision 1462642546237Aiar. unit v. machine vision 1462642546237
Aiar. unit v. machine vision 1462642546237
 
Sparsity Based Super Resolution Using Color Channel Constraints
Sparsity Based Super Resolution Using Color Channel ConstraintsSparsity Based Super Resolution Using Color Channel Constraints
Sparsity Based Super Resolution Using Color Channel Constraints
 
[IJET-V1I6P10] Authors: Mr.B.V.Sathish Kumar, M.Tech Scholar G.Sumalatha
[IJET-V1I6P10] Authors: Mr.B.V.Sathish Kumar, M.Tech Scholar G.Sumalatha [IJET-V1I6P10] Authors: Mr.B.V.Sathish Kumar, M.Tech Scholar G.Sumalatha
[IJET-V1I6P10] Authors: Mr.B.V.Sathish Kumar, M.Tech Scholar G.Sumalatha
 
Uday Kale - Recipe Prediction for Non Textile Application - Datacolor_2.pdf
Uday Kale - Recipe Prediction for Non Textile Application - Datacolor_2.pdfUday Kale - Recipe Prediction for Non Textile Application - Datacolor_2.pdf
Uday Kale - Recipe Prediction for Non Textile Application - Datacolor_2.pdf
 
Image parts and segmentation
Image parts and segmentation Image parts and segmentation
Image parts and segmentation
 
Correction of Saturated Regions in RGB Color Space
Correction of Saturated Regions in RGB Color Space Correction of Saturated Regions in RGB Color Space
Correction of Saturated Regions in RGB Color Space
 
Correction of Saturated Regions in RGB Color Space
Correction of Saturated Regions in RGB Color Space Correction of Saturated Regions in RGB Color Space
Correction of Saturated Regions in RGB Color Space
 
Computer Vision: Feature matching with RANSAC Algorithm
Computer Vision: Feature matching with RANSAC AlgorithmComputer Vision: Feature matching with RANSAC Algorithm
Computer Vision: Feature matching with RANSAC Algorithm
 

More from Ghent University

Introduction to iso 1400 and ems
Introduction to iso 1400 and emsIntroduction to iso 1400 and ems
Introduction to iso 1400 and emsGhent University
 
5. civil engineering textile
5. civil engineering textile5. civil engineering textile
5. civil engineering textileGhent University
 
2. textile reinforced composites
2. textile reinforced composites2. textile reinforced composites
2. textile reinforced compositesGhent University
 

More from Ghent University (6)

Introduction to iso 1400 and ems
Introduction to iso 1400 and emsIntroduction to iso 1400 and ems
Introduction to iso 1400 and ems
 
Industrial pollution
Industrial pollutionIndustrial pollution
Industrial pollution
 
5. civil engineering textile
5. civil engineering textile5. civil engineering textile
5. civil engineering textile
 
4. automotive textiles
4. automotive textiles4. automotive textiles
4. automotive textiles
 
3. filtration textiles
3. filtration textiles3. filtration textiles
3. filtration textiles
 
2. textile reinforced composites
2. textile reinforced composites2. textile reinforced composites
2. textile reinforced composites
 

Recently uploaded

Energy Awareness training ppt for manufacturing process.pptx
Energy Awareness training ppt for manufacturing process.pptxEnergy Awareness training ppt for manufacturing process.pptx
Energy Awareness training ppt for manufacturing process.pptxsiddharthjain2303
 
Mine Environment II Lab_MI10448MI__________.pptx
Mine Environment II Lab_MI10448MI__________.pptxMine Environment II Lab_MI10448MI__________.pptx
Mine Environment II Lab_MI10448MI__________.pptxRomil Mishra
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AIabhishek36461
 
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor CatchersTechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catcherssdickerson1
 
NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...
NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...
NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...Amil Baba Dawood bangali
 
National Level Hackathon Participation Certificate.pdf
National Level Hackathon Participation Certificate.pdfNational Level Hackathon Participation Certificate.pdf
National Level Hackathon Participation Certificate.pdfRajuKanojiya4
 
Virtual memory management in Operating System
Virtual memory management in Operating SystemVirtual memory management in Operating System
Virtual memory management in Operating SystemRashmi Bhat
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girlsssuser7cb4ff
 
Indian Dairy Industry Present Status and.ppt
Indian Dairy Industry Present Status and.pptIndian Dairy Industry Present Status and.ppt
Indian Dairy Industry Present Status and.pptMadan Karki
 
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)Dr SOUNDIRARAJ N
 
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncWhy does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncssuser2ae721
 
Solving The Right Triangles PowerPoint 2.ppt
Solving The Right Triangles PowerPoint 2.pptSolving The Right Triangles PowerPoint 2.ppt
Solving The Right Triangles PowerPoint 2.pptJasonTagapanGulla
 
An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...Chandu841456
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxk795866
 
Steel Structures - Building technology.pptx
Steel Structures - Building technology.pptxSteel Structures - Building technology.pptx
Steel Structures - Building technology.pptxNikhil Raut
 
US Department of Education FAFSA Week of Action
US Department of Education FAFSA Week of ActionUS Department of Education FAFSA Week of Action
US Department of Education FAFSA Week of ActionMebane Rash
 
Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...121011101441
 
Internet of things -Arshdeep Bahga .pptx
Internet of things -Arshdeep Bahga .pptxInternet of things -Arshdeep Bahga .pptx
Internet of things -Arshdeep Bahga .pptxVelmuruganTECE
 

Recently uploaded (20)

Energy Awareness training ppt for manufacturing process.pptx
Energy Awareness training ppt for manufacturing process.pptxEnergy Awareness training ppt for manufacturing process.pptx
Energy Awareness training ppt for manufacturing process.pptx
 
Mine Environment II Lab_MI10448MI__________.pptx
Mine Environment II Lab_MI10448MI__________.pptxMine Environment II Lab_MI10448MI__________.pptx
Mine Environment II Lab_MI10448MI__________.pptx
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AI
 
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor CatchersTechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
 
NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...
NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...
NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...
 
National Level Hackathon Participation Certificate.pdf
National Level Hackathon Participation Certificate.pdfNational Level Hackathon Participation Certificate.pdf
National Level Hackathon Participation Certificate.pdf
 
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
 
Virtual memory management in Operating System
Virtual memory management in Operating SystemVirtual memory management in Operating System
Virtual memory management in Operating System
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girls
 
Indian Dairy Industry Present Status and.ppt
Indian Dairy Industry Present Status and.pptIndian Dairy Industry Present Status and.ppt
Indian Dairy Industry Present Status and.ppt
 
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
 
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncWhy does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
 
Design and analysis of solar grass cutter.pdf
Design and analysis of solar grass cutter.pdfDesign and analysis of solar grass cutter.pdf
Design and analysis of solar grass cutter.pdf
 
Solving The Right Triangles PowerPoint 2.ppt
Solving The Right Triangles PowerPoint 2.pptSolving The Right Triangles PowerPoint 2.ppt
Solving The Right Triangles PowerPoint 2.ppt
 
An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptx
 
Steel Structures - Building technology.pptx
Steel Structures - Building technology.pptxSteel Structures - Building technology.pptx
Steel Structures - Building technology.pptx
 
US Department of Education FAFSA Week of Action
US Department of Education FAFSA Week of ActionUS Department of Education FAFSA Week of Action
US Department of Education FAFSA Week of Action
 
Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...
 
Internet of things -Arshdeep Bahga .pptx
Internet of things -Arshdeep Bahga .pptxInternet of things -Arshdeep Bahga .pptx
Internet of things -Arshdeep Bahga .pptx
 

8. computer colour matching steps to predict concentration

  • 1. COMPUTER COLOUR MATCHING STEPS TO PREDICT CONCENTRATION CHAPTER-8 Granch Berhe
  • 2. Correction to predicted Recipe • The correction can be applied in different ways. The important methods are: • i. numerical increments in connection of each dye • ii. correction by using the differential of K-M function of standard color w.r.t. Reflectance A. Numerical increments in connection of each dye • In this method the concentration of dyes are increased by 1% of computed concentration successively for each dye and tristimulus values are computed each time using 16 equations • sample Concentration Color coordinate’s • Standard - Xt Yt Zt • fiber program C1 C2 C3 X0 Y0 • predated c2 c3X1 Y1 Z1 • Predated C1 c2+0.01c2 c3 X2 Y2 Z2 • Predated C1 c2 c3+0.01c3 X3 Y3 Z3
  • 3. B. Using of differentiation of Reflectance The differentiation of reflectance of the target and standard provides a method to reach to correct recipe with minimum iterations. Color Matching Using Sixteen Points Reflectance Data The Present computational mentods use 16 wavelengths data for determining color recipe for a given shade. CHE color parameters of customer standard are determined by its spectral rteckeetance values, which in turn depend on concentration of each dye for three dyes combination we have: • X = F2 (c1,c2,c3) • Y = F2(c1,c2,C3) • Z= F3 (c1,c2,c3) • Where: • F1,F2,F3 are non –linear functions of dyestuff concentrations • The linearization of equations result inherent inaccuracies, and therefore concentration computed ar first retail will have more of less errop. The first solution can be improved by iteration method. Thus even for 16-point computations the determnunations of color recipe are carried out in two ways – Determination of initial recipe – Improvement solution by iteration
  • 4. Read XYZ of standard & data for dyes & substrates Select appropriate combinations of dyes Negative concentration or out side tolerance? Calculate reflectance curve and XYZ of sample Compare XYZ of standard ,close enough Calculate Correction to concentration Calculate color difference for different illuminants, metamersim, cost of dyes. Calculation is made for all possible combinations from selected dyes? Print out results Steps to Predict Concentration
  • 5. A/ 1. Measure reflectance of target standard 2. Measure reflectance of subs trace 3. Calculate K .M Function of Standard 4. Calculate K.M function of subs tract B/ Take optical data of three dyes for calculating recipe at 16 wavelengths C/ 1. Identify Smax and (K/S/ Max, and f(Rframex path) mx surs. 2. Represent K.M function with variables for both standard and subs tract 3. Form a mate 4. Solve c1,C2$C3 D/ 1. Calculate K.M function of the sample ( dye mixture ) a 16 wake length data 2. calculate Refraction of the sample ( dye mixture) a 16 wow length data E/ 1. Calculate Tristumalus malue of standard 2. calculate Tristimulus value of dye mixture ( sample) F/ 1. Apply color Difference formula 2. Indicate the lightless, red greenness & Blue yellow CASs of the sample 3. Take correction 4. fist give over covert ion Steps to Predict Concentration
  • 6. A/ 1. Measure reflectance of target standard 2. Measure reflectance of subs trace 3. Calculate K .M Function of Standard 4. Calculate K.M function of subs tract B/ Take optical data of three dyes for calculating recipe at 16 wavelengths C/ 1. Identify Smax and (K/S/ Max, and f(Rframex path) mx surs. 2. Represent K.M function with variables for both standard and subs tract 3. Form a mate 4. Solve c1,C2$C3 D/ 1. Calculate K.M function of the sample ( dye mixture ) a 16 wake length data 2. calculate Refraction of the sample ( dye mixture) a 16 wow length data E/ 1. Calculate Tristumalus malue of standard 2. calculate Tristimulus value of dye mixture ( sample) F/ 1. Apply color Difference formula 2. Indicate the lightless, red greenness & Blue yellow CASs of the sample 3. Take correction 4. fist give over covert ion Steps to Predict Concentration