This book provides an essential overview of the practical use of color science for textiles, combining theory, examples, illustrations, and lucid computational techniques using MATLAB to provide readers a better understanding of the physical significance of color parameters. It includes eight chapters on conventional applications, with a special chapter on the use of digital color analysis and application techniques for color modeling, recent developments, and future trends. It also demonstrates MATLAB programming, including step-by-step explanations for researchers and professionals who are new to this field.

Autorentext

Dr. Asimananda Khandual is currently a faculty member at the Department of Fashion & Apparel Technology at the College of Engineering & Technology (CET), Bhubaneswar, India. Active in the field of textile research for 14 years, his primary research interests are in the areas of textile chemical processing, computational color science, image processing, modeling & artificial neural networks, novel functional finishes, e-textiles, and objective evaluation systems.

Inhalt

CHAPTER 1 INTRODUCTION

1. Introduction:
   1 .1 What is color
   1.2. The causes of color
   1.3. Color constituents
   1.4. Witt's theory chromophores, auxochrome, chromogen

CHAPTER 2 COLORING MATTER
2.1. History : natural colors & synthetic dyes, chronological developments
2.2. Dyes and pigments
2.3. Brief on classification: chemical constitution and application

CHAPTER 3 DYEING
3.1. Dyeing theory
3.2. Application of various dyes to various fibres in brief
3.3. Some new dyes, developments, Applications

Chapter 4 MEASURING COLOR, PARAMETERS AND PECEPTION
4.1. History
4.2. Perception, Trichromaticity, Primary and secondary color
4.3 Opponent theory
4.4. Reflection, absorption, scattering, transmittance
4.5. Illuminant and observer, viewing geometry
4.6. Spectral Measurements techniques
4.7. RGB, XYZ, CIELab*, LuV*
4.8. Optical density , Beer Lambert's Law , K/S & its use
4.9. CIE Diagram, Physical significance

CHAPTER 5: COMPUTATIONAL TECHNIQUES WITH MATLAB
5.1. Induction to basic commands
5.2. Computation and visualization of Spectral data and interpretation
5.3. More advanced computation: reflectance data to CIELab* of various illuminants & Observers, CIE diagram etc.
5.4. Exercises, solved examples for better understanding of spectral data, color parameters

CHAPTER 6: COLOR MIXING THEORY, PREDICTIONS
6.1 . Grassmann's law , Kubelka-Munk theory, advances
6.2. Computer color Matching algorithms
6.3. Neural networks for color predictions
6.4. Metamerism, Fluorescence
6.5. Color Difference, Sorting and Error ellipse
6.6. Analysis and tips for producing exact color from data visualization

CHAPTER 7: IMAGING COLOR
7.1. Inside RGB sensors
7.2. Story of Device dependent color space
7.3. Interacting device independent to device-dependent color space
7.4. Color characterizations and modeling
7.5. Diffused illumination, modeling and rending
7.6. Advances and scope for textiles
7.7. Computation with MATLAB

CHAPTER 8: MORE EXERCISES, SOLVED EXAMPLES