Colorwatch: Color Perceptual Spatial Tactile Interface for People with Visual Impairments
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Basic Color I
Basic Color I Up to this point we have explored and /or reviewed 4 several basic visual elements that will help develop a solid foundation for a Language of Painting. With a strong focus on the dynamics of paint application, we have connected simple dots with confident lines, con- figured lines into a wide array of shapes, and applied contrasting pigments in concert with varied pressures to yield seamless gradations of value. However, the previous chapter incorporated a new element that many find to be one of the most powerful tools for the creative endeavor-- color. The Painted Pressure Scale chapter, had us grow our palette from the sparse black and white that we have started with to include three colors: Red, Yellow and Blue. It is our hope that your experience generated a good number of questions from this inaugural color use. With this chapter we will take some first steps towards answering those questions. We will also revisit some of the color concepts you may already hold and introduce you to some of the more advanced methods for identifying, using and understanding this brilliant aspect of the artist’s salvo. On any initial investigation into color we are faced with a robust vocabulary of terms and concepts that may leave us somewhat confused. Like the many other aspects of our curriculum, we make a strong effort to simplify all of this. We will endeavor to make use of what you may have learned in the past and offer options for you to integrate color in the manner you wish into your creative process efficiently and effectively. -
UNIVERSITY of STIRLING Kenneth Pardey the WELFARE of the VISUALLY HANDICAPPED in the UNITED KINGDOM
UNIVERSITY OF STIRLING Kenneth Pardey THE WELFARE OF THE VISUALLY HANDICAPPED IN THE UNITED KINGDOM 'Submitted for the degree of Ph.D. December 1986 II CONTENTS Page Acknowledgements III Abstract v 1. Introduction: The history of the welfare of the visually handicapped in the United Kingdom 1 2. Demographic studies of the visually handicapped 161 3. The Royal National Institute for the Blind 189 4. The history and the contribution of braille, moon and talking books 5. St Dunstan's for the war blinded: A history and a critique ,9, 6. Organisations of the visually handicapped 470 7. Social service-a and rehabilitation 520 8. The elderly person with failing vision 610 9. The education of the visually handicapped 691 10. Employment and disability 748 11. Disability and inco1;-~e 825 Bibliography 870 III Acknowledgements I would like to thank the following people who either agreed to be interviewed or helped me to find some useful sources of information: Colin Low, Martin Milligan, Fred Reid, Hans Cohn, Jim Hughes, Janet Lovall, Jill Dean, Joan Hughes, Doreen Chaney and Elaine Bootman of the National Federation of the Blind; Michael Barrett, Tom Parker, Chris Hynes, Pat O'Grady, Frank Mytton, L. J. Isaac, George Slaughter, J. Nor mile and R. 0. Rayner of the National League of the Blind and Disabled; Donald Bell, Tony Aston, George T. Willson, B. T. Gifford, Neville Lawson and Penelope Shore of the Royal National Institute for the Blind; Timothy Cullinan of the Department of Environmental and Preventive Medicine of the Medical College of St -
Development of a Methodology for Analyzing the Color Content of a Selected Group of Printed Color Analysis Systems
AN ABSTRACT OF THE THESIS OF Edith E. Collin for the degree of Master of Sciencein Clothing, Textiles and Related Arts presented on April 7, 1986. Title: Development of a Methodology for Analyzing theColor Content of a Selected Group of Printed Color Analysis Systems Redacted for Privacy Abstract approved: Ardis Koester The purpose of this study was to develop amethodology to compare the color choice recommendationsfor each personal color analysis category identified by the authorsof selected publications. The procedure used included: (1) identification of publications with color analysis systemsdirected toward female clientele; (2) comparison of number and names of categoriesused; (3) identification, by use of Munsell colornotations, the visual and written color recommendations ascribed toeach category; and (4) comparison of the publications on the basisof: (a) number and names of categories; (b) numberof color recommendations in each category; (c) range of hue value and chroma presented;(d) comparison of visual and written color recommendations by categoryand author. With the exception of comparison of publications onthe basis of written color recommendations, all components of themethodology were successful. Comparison of the publications used in development ofthe methodology revealed that: 1. The majority of authors use the seasonal category system. 2. The number of color recommendations per category was quite consistent within a publication but varied widely among authors. 3. There were few similarities in color recommendations even among authors using the same name categories. 4. There was poor agreement between written and visual color recommendations within all color categories. 5. There was no discernable theoretical basis for the color recommendations presented by any author included in this study. -
Color Space Conversion
L Technical Color Space Information Conversion The role of color space conversion in the process of scanning and reproduc- ing a color image begins the moment an image is captured by a scanner and continues through the point at which it is output on film. For the purpose of this article we will discuss conversions between three types of color systems: RGB, CIE, and CMYK. The RGB (Red, Green, & Blue) and CMYK (Cyan, Magenta, Yellow, & Black) color models have been described in greater detail in the Linotype-Hell Technical information piece entitled Color in Printing. For some background information on the CIE (Commission Internationale de l’Eclairage), please refer to Color Spaces and PostScript Level 2. CIE as a reference color space Most scanners acquire color in the form of RGB data. The majority of non- photographic printing methods employ CMYK inks or toners. In a closed sys- tem, where the characteristics of both the scanner and the printing method are well-defined, conversions may be made from RGB to CMYK through tables that maintain a reasonable level of color consistency. The process becomes somewhat more difficult as you add monitors, other scanners, proofing devices or printing processes that have different characteristics. It becomes critical to have a consistent yardstick, if you will, a means of con- verting between different color systems (and back again) without a loss in color fidelity. This is what CIE provides. Let’s start with some background on CIE, and then we will look at how it can be applied in an open system. Measuring color Light reflected off of, or transmitted through a colored object can be mea- sured by the wavelengths of light that are reflected or transmitted. -
Color Measurement1 Agr1c Ü8 ,
I A^w /\PK4 1946 USDA COLOR MEASUREMENT1 AGR1C ü8 , ,. 2001 DEC-1 f=> 7=50 AndA ItsT ApplicationA rL '"NT SERIAL Í to the Grading of Agricultural Products A HANDBOOK ON THE METHOD OF DISK COLORIMETRY ui By S3 DOROTHY NICKERSON, Color Technologist, Producdon and Marketing Administration 50! es tt^iSi as U. S. DEPARTMENT OF AGRICULTURE Miscellaneous Publication 580 March 1946 CONTENTS Page Introduction 1 Color-grading problems 1 Color charts in grading work 2 Transparent-color standards in grading work 3 Standards need measuring 4 Several methods of expressing results of color measurement 5 I.C.I, method of color notation 6 Homogeneous-heterogeneous method of color notation 6 Munsell method of color notation 7 Relation between methods 9 Disk colorimetry 10 Early method 22 Present method 22 Instruments 23 Choice of disks 25 Conversion to Munsell notation 37 Application of disk colorimetry to grading problems 38 Sample preparation 38 Preparation of conversion data 40 Applications of Munsell notations in related problems 45 The Kelly mask method for color matching 47 Standard names for colors 48 A.S.A. standard for the specification and description of color 50 Color-tolerance specifications 52 Artificial daylighting for grading work 53 Color-vision testing 59 Literature cited 61 666177—46- COLOR MEASUREMENT And Its Application to the Grading of Agricultural Products By DOROTHY NICKERSON, color technologist Production and Marketing Administration INTRODUCTION cotton, hay, butter, cheese, eggs, fruits and vegetables (fresh, canned, frozen, and dried), honey, tobacco, In the 16 years since publication of the disk method 3 1 cereal grains, meats, and rosin. -
Light and Color
Chapter 9 LIGHT AND COLOR What Is Color? Color is a human phenomenon. To the physicist, the only difference be- tween light with a wavelength of 400 nanometers and that of 700 nm is Different wavelengths wavelength and amount of energy. However a normal human eye will see cause the eye to see another very significant difference: The shorter wavelength light will different colors. cause the eye to see blue-violet and the longer, deep red. Thus color is the response of the normal eye to certain wavelengths of light. It is nec- essary to include the qualifier “normal” because some eyes have abnor- malities which makes it impossible for them to distinguish between certain colors, red and green, for example. Note that “color” is something that happens in the human seeing ap- Only light itself paratus—when the eye perceives certain wavelengths of light. There is causes sensations of no mention of paint, pigment, ink, colored cloth or anything except light color. itself. Clear understanding of this point is vital to the forthcoming discus- sion. Colorants by themselves cannot produce sensations of color. If the proper light waves are not present, colorants are helpless to produce a sensation of color. Thus color resides in the eye, actually in the retina- optic-nerve-brain combination which teams up to provide our color sen- Color vision is sations. How this system works has been a matter of study for many years complex and not and recent investigations, many of them based on the availability of new completely brain scanning machines, have made important discoveries. -
Goethe's Theory of Colors Between the Ancient Philosophy, Middle Ages
CULTURE, MEDIA & FILM | RESEARCH ARTICLE Goethe’s theory of colors between the ancient philosophy, middle ages occultism and modern science Victor Barsan and Andrei Merticariu Cogent Arts & Humanities (2016), 3: 1145569 Page 1 of 29 Barsan & Merticariu, Cogent Arts & Humanities (2016), 3: 1145569 http://dx.doi.org/10.1080/23311983.2016.1145569 CULTURE, MEDIA & FILM | RESEARCH ARTICLE Goethe’s theory of colors between the ancient philosophy, middle ages occultism and modern science 1 2 Received: 18 February 2015 Victor Barsan * and Andrei Merticariu Accepted: 20 January 2016 Published: 18 February 2016 Abstract: Goethe’s rejection of Newton’s theory of colors is an interesting example *Corresponding author: Victor Barsan, of the vulnerability of the human mind—however brilliant it might be—to fanati- Department of Theoretical Physics, cism. After an analysis of Goethe’s persistent fascination with magic and occultism, Horia Hulubei Institute of Physics and Nuclear Engineering, Aleea Reactorului of his education, existential experiences, influences, and idiosyncrasies, the authors nr. 30, Magurele, Bucharest, Romania E-mail: [email protected] propose an original interpretation of his anti-Newtonian position. The relevance of Goethe’s Farbenlehre to physics and physiology, from the perspective of modern sci- Reviewing editor: Peter Stanley Fosl, Transylvania ence, is discussed in detail. University, USA Subjects: Aristotle; Biophysics; Experimental Physics; Fine Art; Medical Physics; Ophthal- Additional information is available at the end of the article mology; Philosophy of Art; Philosophy of Science; Presocratics Keywords: ancient philosophy; Greek–Roman classicism; middle ages science; Newtonian science; occultism; pantheism; optics; theory of colors; primordial phenomenon (urphaeno men) 1. Introduction Light is one of the most interesting components of the physical universe. -
Fuzzy Set Theoretical Approach to the Tone Triangular System
JOURNAL OF COMPUTERS, VOL. 6, NO. 11, NOVEMBER 2011 2345 Fuzzy Set Theoretical Approach to the Tone Triangular System Naotoshi Sugano Tamagawa University, Tokyo, Japan [email protected] Abstract—The present study considers a fuzzy color system gravity of the attribute information of vague colors. This in which three input fuzzy sets are constructed on the tone fuzzy set theoretical approach is useful for vague color triangle. This system can process a fuzzy input to a tone information processing, color identification, and similar triangular system and output to a color on the RGB applications. triangular system. Three input fuzzy sets (not black, white, and light) are applied to the tone triangle relationship. By treating three attributes of chromaticness, whiteness, and II. METHODS blackness on the tone triangle, a target color can be easily A. Color Triangle and Additive Color Mixture obtained as the center of gravity of the output fuzzy set. In Additive color mixing occurs when two or three beams the present paper, the differences between fuzzy inputs and inference outputs are described, and the relationship of differently colored light combine. It has been found between inference outputs for crisp inputs and for fuzzy that mixing just three additive primary colors, red, green, inputs on the RGB triangular system are shown by the and blue, can produce the majority of colors. In general, a input-output characteristics between chromaticness, color vector can be described by certain quantities as a whiteness, and blackness as the inputs and redness (as one scalar and a direction. These quantities are referred to as of the outputs). -
A Correlated Color Temperature for Illuminants
. (R P 365) A CORRELATED COLOR TEMPERATURE FOR ILLUMINANTS By Raymond Davis ABSTRACT As has long been known, most of the artificial and natural illuminants do not match exactly any one of the Planckian colors. Therefore, strictly speaking, they can not be assigned a color temperature. A color of this type may, however, be correlated with a representative Planckian color. The method of determining correlated color temperature described in this paper consists in comparing the relative luminosities of each of the three primary red, green, and blue components of the source with similar values for the Planckian series. With such a comparison three component temperatures are obtained; that is, the red component of the source corresponds with that of the Planckian radiator at one temperature, its green component with that of the Planckian radiator at a second temperature, and its blue component with that of the Planckian radiator at a third temperature. The average of these three component temperatures is designated as the correlated color temperature of the source. The mean devia- tion of the component temperatures from the average temperature is used as a basis for specifying the color (chromaticity) departure of the source from that of the Planckian radiator at the correlated color temperature. The conjunctive wave length indicates the kind of color departure. CONTENTS Page I. Introduction 659 II. The proposed method 662 III. Procedure 665 1. The Planckian radiator evaluated in terms of relative lumi- nosity of the primary components 665 2. Computation of the correlated color temperature 670 3. Calculation of color departure in terms of sensation steps 672 4. -
ARCA (Automatic Recognition of Color for Archaeology): a Desktop Application for Munsell Estimation
ARCA (Automatic Recognition of Color for Archaeology): a Desktop Application for Munsell Estimation Filippo L.M. Milotta1;2, Filippo Stanco1, and Davide Tanasi2 1 Image Processing Laboratory (IPLab) Department of Mathematics and Computer Science University of Catania, Italy fmilotta, [email protected] 2 Center for Virtualization and Applied Spatial Technologies (CVAST) Department of History University of South Florida, Florida [email protected], [email protected] Abstract. Archaeologists are used to employing the Munsell Soil Charts on cultural heritage sites to identify colors of soils and retrieved artifacts. The standard practice of Munsell estimation exploits the Soil Charts by visual means. This procedure is error prone, time consuming and very subjective. To obtain an accurate estimation the process should be re- peated multiple times and possibly by other users, since colors might not be perceived uniformly by different people. Hence, a method for objective and automatic Munsell estimation would be a valuable asset to the field of archaeology. In this work we present ARCA: Automatic Recognition of Color for Archaeology, a desktop application for Munsell estimation. The following pipeline for Munsell estimation aimed towards archaeologists has been proposed: image acquisition of specimens, manual sampling of the image in the ARCA desktop application, automatic Munsell estima- tion of the sampled points and creation of a sampling report. A dataset, called ARCA108, consisting of 22; 848 samples has been gathered, in an unconstrained environment, and evaluated with respect to the Munsell Soil Charts. Experimental results are reported to define the best con- figuration that should be used in the acquisition phase. -
Raphics & Visualization
Graphics & Visualization Chapter 11 COLOR IN GRAPHICS & VISUALIZATION Graphics & Visualization: Principles & Algorithms Chapter 11 Introduction • The study of color, and the way humans perceive it, a branch of: Physics Physiology Psychology Computer Graphics Visualization • The result of graphics or visualization algorithms is a color or grayscale image to be viewed on an output device (monitor, printer) Graphics programmer should be aware of the fundamental principles behind color and its digital representation Graphics & Visualization: Principles & Algorithms Chapter 11 2 Grayscale • Intensity: achromatic light; color characteristics removed • Intensity can be represented by a real number between 0 (black) and 1 (white) Values between these two extremes are called grayscales • Assume use of d bits to represent the intensity of each pixel n=2d different intensity values per pixel • Question: which intensity values shall we represent ? • Answer: Linear scale of intensities between the minimum & maximum value, is not a good idea: Human eye perceives intensity ratios rather than absolute intensity values. Light bulb example: 20-40-60W Therefore, we opt for a logarithmic distribution of intensity values Graphics & Visualization: Principles & Algorithms Chapter 11 3 Grayscale (2) • Let Φ0 be the minimum intensity value For typical monitors: Φ0 = (1/300) * maximum value 1 (white) Such monitors have a dynamic range of 300:1 • Let λ be the ratio between successive intensity values • Then we take: Φ1 = λ* Φ0 2 Φ1 = λ* Φ1=λ *Φ0 … -
Computer Vision? Color Histograms
Lecture 11 Color © UW CSE vision faculty Starting Point: What is light? Electromagnetic radiation (EMR) moving along rays in space •R(λ) is EMR, measured in units of power (watts) – λ is wavelength Perceiving light • How do we convert radiation into “color”? • What part of the spectrum do we see? Newton’s prism experiment Newton’s own drawing of his experiment showing decomposition of white light The light spectrum We “see” electromagnetic radiation in a range of wavelengths Light spectrum The appearance of light depends on its power spectrum • How much power (or energy) at each wavelength daylight tungsten bulb Our visual system converts a light spectrum into “color” • This is a rather complex transformation Recall: Image Formation Basics i(x,y) f(x,y) r(x,y) (from Gonzalez & Woods, 2008) Image Formation: Basics Image f(x,y) is characterized by 2 components 1. Illumination i(x,y) = Amount of source illumination incident on scene 2. Reflectance r(x,y) = Amount of illumination reflected by objects in the scene f(,)(,)(,) x y i= x y r x y where 0 (< ,i ) x < y ∞andr 0 < x y ( , < ) 1 r(x,y) depends on object properties r = 0 means total absorption and 1 means total reflectance The Human Eye and Retina Color perception • Light hits the retina, which contains photosensitive cells – rods and cones • Rods responsible for intensity, cones responsible for color Density of rods and cones Rods and cones are non-uniformly distributed on the retina • Fovea - Small central region (1 or 2°) containing the highest density of cones (and no rods) • Less visual acuity in the periphery—many rods wired to the same neuron Demonstration of Blind Spot With left eye shut, look at the cross on the left.