Identification of Pigments by Multispectral Imaging; a Flowchart Method Antonino Cosentino

Total Page:16

File Type:pdf, Size:1020Kb

Identification of Pigments by Multispectral Imaging; a Flowchart Method Antonino Cosentino Cosentino Heritage Science 2014, 2:8 http://www.heritagesciencejournal.com/content/2/1/8 RESEARCH ARTICLE Open Access Identification of pigments by multispectral imaging; a flowchart method Antonino Cosentino Abstract The literature on the application of Multispectral and Hyperspectral imaging for identification of pigments on artworks is sparse. While these methods do not provide the analytical capability that spectroscopies do offer, the use of spectral imaging has the advantage of being a rapid and relatively low-cost solution for the examination of large areas. This paper presents a flowchart for the identification of historical pigments applied with gum Arabic using multispectral imaging (wavelength ranging from 360 to 1700 nm) performed with a modified digital camera for infrared, visible and ultraviolet photography; and an InGaAs camera for infrared reflectography. The flowchart method will be most successful on paint made of one layer of pure pigment, and it can selectively discriminate only a fraction of the 56 pigments analyzed. Though, considerably limited in its analytical capabilities, the low cost and speed of the workflow make the method worthwhile, even if only to localize retouching and areas appearing the same hue but painted with different pigments. The InGaAs camera is the only expensive instrument used in this study but its cost is relatively affordable for the average painting conservation studio since only a model with a low pixel count is required (320×256 pixels) rather than a more sophisticated InGaAs scanner system. Introduction will work for those which present peculiar behaviors in Multispectral imaging (MSI) [1,2] and Hyperspectral the range of the electromagnetic spectrum readily ob- Imaging [3-6], have been suggested as methods for the servable with an IR-VIS–UV modified digital camera non-destructive identification of pigments. Though, it is (360–1100 nm) and an InGaAs camera (900–1700 nm). mandatory to point out that these methods are problem- In this way, selected pigments are likely to be identified atic and the user may be subjected to draw conclusions by means of MSI examination. This simplified approach, that remain uncertain, essentially, because pigments are though demonstrated to be limited in its analytical diag- often mixed and overlapped in layers to make the de- nostic capabilities, has the benefit of being accessible sired color and effect. and easy to implement by professionals in the art con- To identify pigments with an acceptable degree of cer- servation and examination field. tainty, at least one other material specific technique This method is more likely to succeed when applied on must be used to complement hyper or multispectral im- artworks where pigments have been applied in one single aging diagnostics. The use of MSI to tentatively identify layer and not mixed; as is the case with miniatures [6,7], pigments has an important advantage justifying its appli- drawings [8] and prints. Unlike other references, which sug- cation: the rapid and low-cost survey of large areas. The gest the use of software algorithms to analyze the MSI im- intention of this paper is to show that with a flowchart ages, this paper proposes a more straightforward method based methodology it is possible to tentatively identify simply based on visual examination and the use of a photo- some historical pigments by means of MSI performed editing software for the characterization of features appar- with simplified equipment and without the aid of im- ent in the image. aging analysis software. This method doesn’t claim to allow the identification of all different pigments, but it Multispectral imaging Imaging methods This paper illustrates a flowchart method for pigment Correspondence: [email protected] Independent Scholar at “Cultural Heritage Science Open Source” Blog, identification based on the acquisition of MSI images in chsopensource.org, Piazza Cantarella 11, Aci Sant’Antonio 95025, Italy 4 spectral bands: Ultraviolet, UV (360–400 nm); Visible, © 2014 Cosentino; licensee Chemistry Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. Cosentino Heritage Science 2014, 2:8 Page 2 of 12 http://www.heritagesciencejournal.com/content/2/1/8 VIS (400–780 nm); Infrared, IR (780–1100 nm) and In- the different wavelengths. In order to allow a compara- frared Reflectography, IRR (1000–1700 nm), Figure 1. tive examination through the different spectral ranges, The acronyms for the MSI methods presented in this those images are uploaded as layers of a single docu- paper highlight first the spectral band followed by R ment file in an image editing software, such as Adobe (Reflected), F (Fluorescence), FC (False Color). So the 8 Photoshop or GIMP, and manually resized to overlap imaging methods are called VIS (Visible), IR (Infrared), one another. Infrared Reflectography (IRR) was per- UVF (UV Fluorescence), UVF254 (UVC light source), formed with an InGaAs camera (320×256 pixels) Merlin UVR (UV Reflected), IRFC (Infrared False Color), NIR by Indigo Systems. Some suggested references on IRF (IR Fluorescence), IRR (Infrared Reflectography), art documentation and examination using each spectral Figures 1 and 2. band and the relative instrumentation for Infrared There are a number of studies on the application of each [1,2,20-23] and Ultraviolet [24,25] are given. of the above mentioned imaging methods specifically for the identification of pigments: UV Fluorescence (UVF) Filters [9-12], UV Reflected (UVR) [13], Infrared False Color The filters chosen for use in this paper are commercially (IRFC) [14,15], Infrared Fluorescence [16-18] and Infrared distributed for photography and so they are easy to find. Reflectography [19]. Though, there is no comparative study Their transmission spectra are available on the manufac- carried out using all of those methods, and therefore this turers’ websites, Schneider Optics for the B + W filters, paper intends to fill that void. Maxmax.com for the X-Nite filter and Heliopan for the infrared filter. This is the filter set used for the MSI: a) Instrumentation For Ultraviolet Reflected (UVR) photography, the B + W Imaging devices 403 filter is used together with the X-NiteCC1. B + W The MSI images presented in this paper were acquired 403 allows just the UV light to pass, and X-NiteCC1 is with a Nikon D800 DSLR (36 MP, CMOS sensor) digital necessary to stop the IR produced from the UV lamp; b) camera modified for “full spectrum”, ultraviolet–visible‐ For Visible (VIS) photography, just the X-NiteCC1 filter infrared photography (between about 360 and 1100 nm). is sufficient; c) For UV Fluorescence (UVF) photography, The CMOS sensor responds both to the near infrared the B + W 420 must be mounted to stop the reflected and near ultraviolet ranges of the spectrum, however UV, and the X-NiteCC1 is also necessary to exclude any manufacturers install an IR cut-off filter in front of the infrared from the UV lamp; d) For Infrared (IR), Infrared sensor to reduce infrared transmission. There are com- Fluorescence (IRF) and Infrared Reflectography, just the panies that will remove this filter in commercial cameras Heliopan RG1000 is used. for a small fee, and then the camera is said to be “full spectrum”. The camera is tethered to a computer to Lenses allow sharp focusing in non‐visible modes (IR and UV) A Nikon Nikkor 50 mm f/1.8D AF lens was used for all using live view mode. The MSI images created with this the MSI photos on the pigment swatches. Standard pho- camera do not precisely image the same area in each tography lenses are generally fine for MSI. Indeed, they waveband because it is necessary to refocus the lens at are transparent from 350 nm to 1700 nm. Though, it is Figure 1 Illustration of the spectral bands, imaging methods and imaging devices which contribute to the flowchart described in this paper. Cosentino Heritage Science 2014, 2:8 Page 3 of 12 http://www.heritagesciencejournal.com/content/2/1/8 Figure 2 Madonna and Child, Ingels Collection, Sweden. Example of Multispectral Imaging documentation and the acronyms used in this paper. recommended to test the lenses for hot spots in the in- Calibration frared imaging. Hot spots can be caused by a number of For the camera settings and image processing of visible factors, such as coatings and/or the interaction between images it is recommended to follow normal color man- elements within the lens and the image sensor. Lists of agement procedures [2]. For the purpose of this work other lenses tested for hot spots are available online the American Institute of Conservation Photo Docu- [26]. It is also recommended to use fixed focal lenses mentation (AIC PhD) target [27] was used for calibra- and avoid complex lenses that are likely to give flares in tion of visible photography. The camera has been the infrared and ultraviolet photography. Also it is rec- calibrated with the X-rite ColorChecker Passport and its ommended to avoid telephoto lenses over 200 mm for bundled software. Due to differences in technologies and MSI photography, so that the lens will be fast enough to variables in manufacturing processes every camera cap- work with the low intensity emission produced in the tures colors a bit differently. Even two identical cameras UV Fluorescence and IR Fluorescence imaging. from the same company are a bit different. Even if the Raw processing software could have included a profile for the specific model camera, it is possible to get even Lighting better results by creating a profile specifically for the Halogen lamps are used for VIS and IR photography. RAW output of the particular camera.
Recommended publications
  • Image Processing Terms Used in This Section Working with Different Screen Bit Describes How to Determine the Screen Bit Depth of Your Depths (P
    13 Color This section describes the toolbox functions that help you work with color image data. Note that “color” includes shades of gray; therefore much of the discussion in this chapter applies to grayscale images as well as color images. Topics covered include Terminology (p. 13-2) Provides definitions of image processing terms used in this section Working with Different Screen Bit Describes how to determine the screen bit depth of your Depths (p. 13-3) system and provides recommendations if you can change the bit depth Reducing the Number of Colors in an Describes how to use imapprox and rgb2ind to reduce the Image (p. 13-6) number of colors in an image, including information about dithering Converting to Other Color Spaces Defines the concept of image color space and describes (p. 13-15) how to convert images between color spaces 13 Color Terminology An understanding of the following terms will help you to use this chapter. Terms Definitions Approximation The method by which the software chooses replacement colors in the event that direct matches cannot be found. The methods of approximation discussed in this chapter are colormap mapping, uniform quantization, and minimum variance quantization. Indexed image An image whose pixel values are direct indices into an RGB colormap. In MATLAB, an indexed image is represented by an array of class uint8, uint16, or double. The colormap is always an m-by-3 array of class double. We often use the variable name X to represent an indexed image in memory, and map to represent the colormap. Intensity image An image consisting of intensity (grayscale) values.
    [Show full text]
  • Pale Intrusions Into Blue: the Development of a Color Hannah Rose Mendoza
    Florida State University Libraries Electronic Theses, Treatises and Dissertations The Graduate School 2004 Pale Intrusions into Blue: The Development of a Color Hannah Rose Mendoza Follow this and additional works at the FSU Digital Library. For more information, please contact [email protected] THE FLORIDA STATE UNIVERSITY SCHOOL OF VISUAL ARTS AND DANCE PALE INTRUSIONS INTO BLUE: THE DEVELOPMENT OF A COLOR By HANNAH ROSE MENDOZA A Thesis submitted to the Department of Interior Design in partial fulfillment of the requirements for the degree of Master of Fine Arts Degree Awarded: Fall Semester, 2004 The members of the Committee approve the thesis of Hannah Rose Mendoza defended on October 21, 2004. _________________________ Lisa Waxman Professor Directing Thesis _________________________ Peter Munton Committee Member _________________________ Ricardo Navarro Committee Member Approved: ______________________________________ Eric Wiedegreen, Chair, Department of Interior Design ______________________________________ Sally Mcrorie, Dean, School of Visual Arts & Dance The Office of Graduate Studies has verified and approved the above named committee members. ii To Pepe, te amo y gracias. iii ACKNOWLEDGMENTS I want to express my gratitude to Lisa Waxman for her unflagging enthusiasm and sharp attention to detail. I also wish to thank the other members of my committee, Peter Munton and Rick Navarro for taking the time to read my thesis and offer a very helpful critique. I want to acknowledge the support received from my Mom and Dad, whose faith in me helped me get through this. Finally, I want to thank my son Jack, who despite being born as my thesis was nearing completion, saw fit to spit up on the manuscript only once.
    [Show full text]
  • Jupiter Litho
    What Is a False-Color Composite? When most of us think of light, we naturally think about the light we can see with our eyes. But did you know that visible light is only a tiny fraction of the electromagnetic spectrum? You see, the human eye is only sensitive to certain wavelengths of light, and there are many other wavelengths, including radio waves, infrared light, ultraviolet light, x-rays, and gamma rays. When astronomers observe the cosmos, some objects are better observed at wavelengths that we cannot see. In order to help us visualize what we're looking at, sometimes scientists and artists will create a false-color image. Basically, the wavelengths of light that our eyes can't see are represented by a color (or a shade of grey) that we can see. Even though these false-color images do not show us what the object we're observing would actually look like, it can still provide us with a great deal of insight about the object. A composite is an image which combines different wavelengths into the same image. Since a composite isn't what an object really looks like, the same object can be represented countless different ways to emphasize different features. On the reverse are nine images of the planet Jupiter. The first image is a visible-light image, and shows the planet as it might look to our eyes. This image is followed by two false-color images, one showing the planet in the ultraviolet spectrum, and one showing it in the infrared spectrum. The six composites that follow are all made from the first three images, and you can see how different the planet can look! Definitions composite – An image that combines several different wavelengths of light that humans cannot see into one picture.
    [Show full text]
  • False Color Photography Effect Using Hoya UV\&Amp
    MATEC Web of Conferences 197, 15008 (2018) https://doi.org/10.1051/matecconf/201819715008 AASEC 2018 False Color Photography Effect using Hoya UV&IR Cut Filters Feature White Balance Setya Chendra Wibawa1,6*, Asep Bayu Dani Nandyanto2, Dodik Arwin Dermawan3, Alim Sumarno4, Naim Rochmawati5, Dewa Gede Hendra Divayana6, and Amadeus Bonaventura6 1Universitas Negeri Surabaya, Educational in Information Technology, Informatics Engineering, 20231, Indonesia, 2Universitas Pendidikan Indonesia, Chemistry Department, Bandung, 40154, Indonesia, 3Universitas Negeri Surabaya, Informatics Engineering, 60231, Indonesia, 4Universitas Negeri Surabaya, Educational Technology, 60231, Indonesia, 5Universitas Negeri Surabaya, Informatics Engineering, 60231, Indonesia, 6Universitas Pendidikan Ganesha, Educational in Information Technology, Informatics Engineering, 81116, Indonesia Abstract. The research inspired by modification DSLR camera become False Color Photography effect. False Color Photography is a technique to give results like near-infrared. Infrared photography engages capturing invisible light to produces a striking image. The objective of this research to know the effect by change a digital single-lens reflex (D-SLR) camera to be false color. The assumption adds a filter and make minor adjustments or can modify the camera permanently by removing the hot mirror. This experiment confirms change usual hot mirror to Hoya UV&IR Cut Filter in front of sensor CMOS. The result is false color effect using feature Auto White Balance such as the color of object photography change into reddish, purplish, old effect, in a pint of fact the skin of model object seems to be smoother according to White Balance level. The implication this study to get more various effect in photography. 1 Introduction The camera sensor is, in essence, monochromatic.
    [Show full text]
  • Study of X-Ray Image Via Pseudo Coloring Algorithm
    Sharma Komal et al.; International Journal of Advance Research, Ideas and Innovations in Technology ISSN: 2454-132X Impact factor: 4.295 (Volume 5, Issue 1) Available online at: www.ijariit.com Study of X-ray image via pseudo coloring algorithm Komal Sharma Karamvir Singh Rajpal Ravi Kant [email protected] [email protected] [email protected] Rayat Bahra University, Neonex Technology, Rayat Bahra University, Mohali, Punjab Mohali, Punjab Mohali, Punjab ABSTRACT The objective of this paper is to comprehensively study the concept of pseudo colouring techniques with Repetitive Line Tracking Method Keywords— False coloring, MATLAB, Ferro magnetic, Medical images 1. INTRODUCTION Fig. 2: X-Ray Image of hand before repetitive line tracking Medical imagining refers to techniques and processing used to method is applied create images of unanimous parts of the body. It is not always easy to analyze and interpret X-Ray images. The human eye can distinguish only a limited number of gray scale values but can distinguish thousands of color. So it is clear that the human eye can extract more amount of information from the colored image than that of a gray image. So pseudo coloring is very useful in improving the visibility of an image. As we know that in X-Ray images can only perceive gray shades. In detecting edges of dark hues like Violet, Indigo, Blue and Green [2]. Organs and tissues within the body contain magnetic properties. MRI involves radio waves and magnetic field (instead of X-rays) and on another side, a computer is used to Fig. 3: X-Ray Image of hand after repetitive line tracking manipulate the magnetic elements and generate highly detailed method is applied images of organs in the body.
    [Show full text]
  • Real-Time Supervised Detection of Pink Areas in Dermoscopic Images of Melanoma: Importance of Color Shades, Texture and Location
    Missouri University of Science and Technology Scholars' Mine Electrical and Computer Engineering Faculty Research & Creative Works Electrical and Computer Engineering 01 Nov 2015 Real-Time Supervised Detection of Pink Areas in Dermoscopic Images of Melanoma: Importance of Color Shades, Texture and Location Ravneet Kaur P. P. Albano Justin G. Cole Jason R. Hagerty et. al. For a complete list of authors, see https://scholarsmine.mst.edu/ele_comeng_facwork/3045 Follow this and additional works at: https://scholarsmine.mst.edu/ele_comeng_facwork Part of the Chemistry Commons, and the Electrical and Computer Engineering Commons Recommended Citation R. Kaur et al., "Real-Time Supervised Detection of Pink Areas in Dermoscopic Images of Melanoma: Importance of Color Shades, Texture and Location," Skin Research and Technology, vol. 21, no. 4, pp. 466-473, John Wiley & Sons, Nov 2015. The definitive version is available at https://doi.org/10.1111/srt.12216 This Article - Journal is brought to you for free and open access by Scholars' Mine. It has been accepted for inclusion in Electrical and Computer Engineering Faculty Research & Creative Works by an authorized administrator of Scholars' Mine. This work is protected by U. S. Copyright Law. Unauthorized use including reproduction for redistribution requires the permission of the copyright holder. For more information, please contact [email protected]. Published in final edited form as: Skin Res Technol. 2015 November ; 21(4): 466–473. doi:10.1111/srt.12216. Real-time Supervised Detection of Pink Areas in Dermoscopic Images of Melanoma: Importance of Color Shades, Texture and Location Ravneet Kaur, MS, Department of Electrical and Computer Engineering, Southern Illinois University Edwardsville, Campus Box 1801, Edwardsville, IL 62026-1801, Telephone: 618-210-6223, [email protected] Peter P.
    [Show full text]
  • Origin of the Exotic Blue Color of Copper-Containing Historical
    Article pubs.acs.org/IC Origin of the Exotic Blue Color of Copper-Containing Historical Pigments Pablo García-Fernandez,́ * Miguel Moreno, and JoséAntonio Aramburu Departamento de Ciencias de la Tierra y Física de la Materia Condensada, Universidad de Cantabria, Avenida de los Castros s/n, 39005 Santander, Spain *S Supporting Information ABSTRACT: The study of chemical factors that influence pigment coloring is a field of fundamental interest that is still dominated by many uncertainties. In this Article, we investigate, by means of ab initio calculations, the origin of the unusual bright blue color displayed by historical Egyptian Blue (CaCuSi4O10) and Han Blue (BaCuSi4O10) pigments that is surprisingly not found in other 6− compounds like BaCuSi2O6 or CaCuO2 containing the same CuO4 chromophore. We show that the differences in hue between these systems are controlled by a large red-shift (up to 7100 cm−1) fi 6− produced by an electrostatic eld created by a lattice over the CuO4 chromophore from the energy of the 3z2-r2 → x2-y2 transition, a nonlocal phenomenon widely ignored in the realm of transition metal chemistry and strongly dependent upon the crystal structure. Along 4− this line, we demonstrate that, although SiO4 units are not involved in the chromophore itself, the introduction of sand to create CaCuSi4O10 plays a key role in obtaining the characteristic hue of the Egyptian Blue pigment. The results presented here demonstrate the opportunity for tuning the properties of a given chromophore by modifying the structure of the insulating lattice where it is located. ■ INTRODUCTION even then they remained rare.
    [Show full text]
  • Accurately Reproducing Pantone Colors on Digital Presses
    Accurately Reproducing Pantone Colors on Digital Presses By Anne Howard Graphic Communication Department College of Liberal Arts California Polytechnic State University June 2012 Abstract Anne Howard Graphic Communication Department, June 2012 Advisor: Dr. Xiaoying Rong The purpose of this study was to find out how accurately digital presses reproduce Pantone spot colors. The Pantone Matching System is a printing industry standard for spot colors. Because digital printing is becoming more popular, this study was intended to help designers decide on whether they should print Pantone colors on digital presses and expect to see similar colors on paper as they do on a computer monitor. This study investigated how a Xerox DocuColor 2060, Ricoh Pro C900s, and a Konica Minolta bizhub Press C8000 with default settings could print 45 Pantone colors from the Uncoated Solid color book with only the use of cyan, magenta, yellow and black toner. After creating a profile with a GRACoL target sheet, the 45 colors were printed again, measured and compared to the original Pantone Swatch book. Results from this study showed that the profile helped correct the DocuColor color output, however, the Konica Minolta and Ricoh color outputs generally produced the same as they did without the profile. The Konica Minolta and Ricoh have much newer versions of the EFI Fiery RIPs than the DocuColor so they are more likely to interpret Pantone colors the same way as when a profile is used. If printers are using newer presses, they should expect to see consistent color output of Pantone colors with or without profiles when using default settings.
    [Show full text]
  • Predictability of Spot Color Overprints
    Predictability of Spot Color Overprints Robert Chung, Michael Riordan, and Sri Prakhya Rochester Institute of Technology School of Print Media 69 Lomb Memorial Drive, Rochester, NY 14623, USA emails: [email protected], [email protected], [email protected] Keywords spot color, overprint, color management, portability, predictability Abstract Pre-media software packages, e.g., Adobe Illustrator, do amazing things. They give designers endless choices of how line, area, color, and transparency can interact with one another while providing the display that simulates printed results. Most prepress practitioners are thrilled with pre-media software when working with process colors. This research encountered a color management gap in pre-media software’s ability to predict spot color overprint accurately between display and print. In order to understand the problem, this paper (1) describes the concepts of color portability and color predictability in the context of color management, (2) describes an experimental set-up whereby display and print are viewed under bright viewing surround, (3) conducts display-to-print comparison of process color patches, (4) conducts display-to-print comparison of spot color solids, and, finally, (5) conducts display-to-print comparison of spot color overprints. In doing so, this research points out why the display-to-print match works for process colors, and fails for spot color overprints. Like Genie out of the bottle, there is no turning back nor quick fix to reconcile the problem with predictability of spot color overprints in pre-media software for some time to come. 1. Introduction Color portability is a key concept in ICC color management.
    [Show full text]
  • Prolific Pigmentfinal4.19.20 Copy
    Proliic pigment Create your own unique color! Summary: Throughout history, people have used pigment to express them- selves. How do you make a pigment and what could you use it for? What kind of paint can you create using pigments found at home? Guiding Questions: What are pigments? Where do pigments come from? What could you use pigments for? Experience Goals: • Explore how pigments are made and used. • Make your own pigment and turn it into paint. Supplies: • Pigment Info Sheet • Fresh or Freeze-dried Blueberries (pigment material) • Water (binding material) • Coloring sheet (page 5) • Paintbrush and paint cup • Mortar and Pestle (or another grinding tool, like a bowl and large spoon) • A space you can get messy in! 1. Steps: 1. Explore Pigments a. Explore the Pigment Info Sheet to learn about pigment and how it is used. b. Think about what could create pigment in your home. Is there anything in your kitchen? How about colorful plants outside? c. We will use blueberries to make our color! You can ind the recipe in Step 3. What other colors could you create? What would you paint with them? 2. Make Your Pigment a. Gather your pigment material. Usually a pigment used in painting will be powdered, but can also be in juice form. Crushed up freeze dried fruits like blueberries make for an excellent pigment powder! b. Grind or mash up your pigment material. If using fresh blueberries, mash them then strain out the juice using a kitchen strainer. With frozen or freeze dried blueberries, use a mortar and pestle (or similar items like a bowl and large spoon) to grind them into a ine powder.
    [Show full text]
  • INTRODUCTION to ERDAS IMAGINE Goals: 1. Display a Raster Image
    ERDAS 1: INTRODUCTION TO ERDAS IMAGINE Goals: 1. Display a raster image using panchromatic, normal and false color options. 2. Use the zoom tool/buttons to properly display an image and the inquire cursor to identify pixel X, Y locations and digital numbers (DN). 3. Display an image automatically scaled with DN’s stretched from 0-255, or with natural spectral variation. o Use the histogram to view spectral variability and frequency/proportion of DN’s within each class. 4. Perform a linear contrast stretch 5. Measure distances and areas within an image. 6. Create spatial and spectral profiles of an image. GETTING STARTED To begin your Imagine Session, double-click on the ERDAS Imagine / Imagine Icon or select it from the start-up menu. Erdas Imagine 2011 with a blank 2D View# 1will appear. 1. DISPLAYING AN IMAGE To open and display a raster image you can do either of the following: • From the ERDAS Application select File - Open – Raster Layer (Data will be in Vender Data; ERDAS folder; Example Data_201; lanier.img) Do not Click OK yet. Select the Raster Options tab. This is a Landsat Thematic Mapper (TM) image that has 7 wavebands of information with 512 rows and columns of raster information. In the Layers to Colors section, use the following band/color assignments: Red 4, Green 3, Blue 2. This is a False Color Composite which sends Near Infrared (NIR) Light in TM Band 4 to the Red color gun, Red Light in TM Band 3 to the Green gun, and Green Light TM Band 2 to the Blue gun.
    [Show full text]
  • PAINTING BEYOND the PHOTO (P-16) Laura Spector Intermediate / Advanced Monday Evening, 6:30 - 9:30 PM January 22, 29 and February 5, 12 4-Day Workshop
    PAINTING BEYOND THE PHOTO (P-16) Laura Spector Intermediate / Advanced Monday evening, 6:30 - 9:30 PM January 22, 29 and February 5, 12 4-Day Workshop MATERIALS LIST Acrylic Paint: Please use Open Acrylics so they stay workable throughout class. Golden and Liquitex both make "Open" versions of their paint. If you already have heavy-bodied paint, you may want to contact the manufacturer to ask what medium they would recommend to add to their paint to make it "open". You will need a cool and warm of each primary color. 1. Titanium White (PW 6) 2. Zinc White (PW 4) 3. Pyrrole Red Light (PR 255) 4. Quinacridone Crimson (PR 206 / PR 202) 5. C.P. Cadmium Yellow Primrose (PY 35) 6. Hansa Yellow Medium (PY 73) 7. Yellow Ochre (PY 43) 8. Ultramarine Blue (PB 29) 9. Cerulean Blue (PB 36:1) 10. Burnt Sienna (PBr 7) 11. Burnt Umber (PBr 7) 12. Raw Umber (PBr 7) 13. Dioxazine Purple (PV 23) 14. Prussian Blue (PB15:1 / PV23 / Pbk9) 15. Cadmium Orange (PO 20) (This will likely be the most expensive color and used on most dark skin tones) *Optional - You can purchase SATIN Glazing Medium to extend your paints or use OPEN paints. Water Cup (Glass jar is helpful) Spray bottle (the kind for spraying house plants) Bag of WHITE rags (Southland Hardware - or any other hardware store has these) Art League School – Winter 2018 Oil Paint: *I have included the color index code for each pigment. (Ex: PY34). If you choose to use your favorite brand, please go by the color index code instead of the color name.
    [Show full text]