Using RTI and 3D Laser Scanning Confocal Microscopy to Evaluate Relief and Co...Olympus IMS
Debates continue among scholars over multiple aspects relating to the production of Greek vases. One such debate centers on what tools and methods were used to create certain decorative features such as the relief lines on red-figure ware. There are also conflicting opinions as to the sequence of the applied decoration, in particular which came first, the relief line or the contour line surrounding the red figures.
As part of research into the tools and techniques used to create these vases, ten vases or fragments thereof were examined with RTI and a 3D laser scanning confocal microscope (Olympus LEXT OLS4000).
The use of reflectance transformation imaging (RTI) and 3D laser scanning confocal microscopy (LSCM), two complementary surface examination methods not previously used together in the study of ceramics, has led to new insights in the study of ancient Greek vases.
For more information about the microscope used in this research, visit: http://www.olympus-ims.com/en/metrology/ols4100/
This slide best explains the introduction of CT, basis and types of CT image reconstructions with detailed explanation about Interpolation, convolution, Fourier slice theorem, Fourier transformation and brief explanation about the image domain i.e digital image processing.
principles, applications, advantages, disadvantages, guidelines, uses of cone beam computed tomography in the field of orthodontics and dentistry in general
Universal plane wave compounding for high quality us imaging using deep learningShujaat Khan
Plane-wave compounding is to sum up several successive plane waves incident at different angles to form an image. By applying time-reversal of the received signals, transmit focusing can be synthesized. Unfortunately, to improve the temporal resolution, the number of plane waves should be reduced, which often degrades the image quality. To address this problem, an image domain learning method using neural networks has been proposed, but the network needs to be retrained when the number of plane waves changes. Herein, we propose, for the first time, a universal plane-wave compounding scheme using deep learning to directly process plane waves and RF data acquired at different view angles and sub-sampling rate to generate high quality US images.
Image archiving and preservation finds extensive application in culture heritage murals. The study of cultural heritage is of the extreme importance at national and international levels. Not only global organizations like UNESCO but also museums, libraries, culture, temples and private initiatives are working in these directions. During the last three decades, researchers in the field of imaging discipline have started to contribute an increasing set of algorithms for cultural heritage; in that way providing indispensable support to these efforts. A better comparison of the different compression methods presented in this proposed work for culture Heritage mural images. Compression methods usually applied some method to reduce the number of components within each spectrum. The effectiveness of mural image archiving and preservation is analyzed based on 2-D wavelets filtering. The optimum algorithm is also found based on the results.
Using RTI and 3D Laser Scanning Confocal Microscopy to Evaluate Relief and Co...Olympus IMS
Debates continue among scholars over multiple aspects relating to the production of Greek vases. One such debate centers on what tools and methods were used to create certain decorative features such as the relief lines on red-figure ware. There are also conflicting opinions as to the sequence of the applied decoration, in particular which came first, the relief line or the contour line surrounding the red figures.
As part of research into the tools and techniques used to create these vases, ten vases or fragments thereof were examined with RTI and a 3D laser scanning confocal microscope (Olympus LEXT OLS4000).
The use of reflectance transformation imaging (RTI) and 3D laser scanning confocal microscopy (LSCM), two complementary surface examination methods not previously used together in the study of ceramics, has led to new insights in the study of ancient Greek vases.
For more information about the microscope used in this research, visit: http://www.olympus-ims.com/en/metrology/ols4100/
This slide best explains the introduction of CT, basis and types of CT image reconstructions with detailed explanation about Interpolation, convolution, Fourier slice theorem, Fourier transformation and brief explanation about the image domain i.e digital image processing.
principles, applications, advantages, disadvantages, guidelines, uses of cone beam computed tomography in the field of orthodontics and dentistry in general
Universal plane wave compounding for high quality us imaging using deep learningShujaat Khan
Plane-wave compounding is to sum up several successive plane waves incident at different angles to form an image. By applying time-reversal of the received signals, transmit focusing can be synthesized. Unfortunately, to improve the temporal resolution, the number of plane waves should be reduced, which often degrades the image quality. To address this problem, an image domain learning method using neural networks has been proposed, but the network needs to be retrained when the number of plane waves changes. Herein, we propose, for the first time, a universal plane-wave compounding scheme using deep learning to directly process plane waves and RF data acquired at different view angles and sub-sampling rate to generate high quality US images.
Image archiving and preservation finds extensive application in culture heritage murals. The study of cultural heritage is of the extreme importance at national and international levels. Not only global organizations like UNESCO but also museums, libraries, culture, temples and private initiatives are working in these directions. During the last three decades, researchers in the field of imaging discipline have started to contribute an increasing set of algorithms for cultural heritage; in that way providing indispensable support to these efforts. A better comparison of the different compression methods presented in this proposed work for culture Heritage mural images. Compression methods usually applied some method to reduce the number of components within each spectrum. The effectiveness of mural image archiving and preservation is analyzed based on 2-D wavelets filtering. The optimum algorithm is also found based on the results.
Three dimensional particle image velocimetrypawankumar9275
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16 9252 eeem gis based satellite image denoising (edit ari)IAESIJEECS
Generally, satellite images contain very significant information about geographical features such as rivers, roads, building and bridges etc of the earth. Geographic Information System (GIS) requires these features for automatic detection and it has been corrupted by various types of noise. Curvelet Transform (CT) is used in the proposed system for denoising the images. Advantages of multi resolution image such as line, compatibility of human visual system and edge detection are provided. Then K-Means clustering is used in this system for segmentation purpose after the pre processing done. First, K-Means algorithm is used for segmenting background and water then extraction of bridges is done based on pixel intensity difference.
Different ShapedPatch Array Antenna with Liquid Crystal Substrate (LCS)IJMERJOURNAL
ABSTRACT: This paper is mainly dealing with three different types of patch antennas which are list in fig(1), fig (2) and fig (3) respectively. These proposed antennas are design on liquid crystal substrate liquid crystal substrate. Enhancement factor to improve these proposed antenna performances are introduced. The selected operated frequencies is covering the rang between (1-45) GHz. The objective of these proposed antenna designs are to provide antenna dual band width as well as high gain. All the designs will be implemented on liquid crystal substrate of dielectric constant εr=2.2 and thickness of 0.175 mm. These antennas are narrow and dual band. The gain this work is satisfied our results.
Image reconstruction in CT is mostly a mathematical process however, this presentation tries to explain the complicated process of image reconstruction in a visual way, mainly focusing om Filtered back projection, Iterative Reconstruction and AI based image reconstruction.
1. Documenting a 19th Century British Painting
Using Multispectral and Computational Imaging
A 19th century British landscape painting was documented using a combination of
portable digital technologies. Documentation of the recto consisted of Reflectance
Transformation Imaging (RTI), photogrammetry, and multispectral imaging (ultraviolet
reflectance and fluorescence, visible, and infrared reflectance). Documentation of
the verso consisted of photogrammetry and transmitted infrared (IR) imaging to look
for canvas-maker’s stamps and other features on the original canvas, which is glue-
lined, that could be correlated with a date when the canvas was supplied. Close-range
photogrammetry generated a calibrated three-dimensional (3D) surface model of the
recto and verso of the painting, allowing high-resolution multispectral image cubes to
be stitched into complete orthorectified images for each waveband.
Transmitted IR images of the verso revealed two canvas-maker’s stamps that were
partly obscured by the horizontal cross-brace of the stretcher. To allow more detailed
comparisons and measurements of the canvas stamps, registered visible and
transmitted IR images of the canvas were aligned with the 3D model. A transmitted
IR orthophoto of the verso was exported from the 3D model. Additional transmitted
IR images were captured with the camera positioned at an angle above and below
the stretcher’s cross-brace to capture more of the obscured text of the stamps. The
distortion-corrected images of the stamps were stitched together for archival purposes
and to allow detailed study and comparisons between the two stamps. The stamps
identified the name and location of the canvas supplier in London and established a
date range for when the original canvas was supplied (1834 to ca. 1860).
ABSTRACT
Intern, Digital Diagnostic Specialist, Kept Art Restoration
President, MegaVision, Inc.
Principal Scientist, Equipoise Imaging, LLC
Taylor Bennett
Ken Boydston
William Christens-Barry
RECTO VERSO
Figure 1. Giudecca Canal and Santa Maria della Salute, Venice (92 cm x 127 cm or 36 inches x 50 inches).
Color image reconstructed from six visible wavebands at 455 nm, 470 nm, 505 nm, 535 nm, 570 nm, and
625 nm.
Figure 2. The painting has been glue-lined, obscuring the original canvas and canvas maker’s stamps.
An augmented reality (AR) application allows interactive overlay of transmitted infrared images
(Figures 8-9) on mobile devices, displaying the positions of canvas maker’s stamps.
Figure 4: Photogrammetry extracts shape information from multiple overlapping images (camera positions
represented by blue rectangles) to generate 3D models of the recto (a) and verso (b) of the painting. Calibrated
3D models were used to export orthorectified images, stitch images of multispectral wavebands, and align
transmitted infrared images.
Figure 3. Reflectance Transformation Imaging (RTI) combines multiple images to extract a detailed map of
surface texture. This detail of the painting shows default normal (a) and interactive (b) relighting and application
of specular enhancement, one of several algorithms available in the RTIViewer. Specular enhancement with
relighting reveals the texture of impasto, craquelure, and brushstrokes.
PHOTOGRAMMETRY
Figure 8. Transmitted infrared orthphoto of verso, showing locations of two canvas maker’s stamps partly ob-
scured by the cross-brace of the stretcher. Additional transmitted infrared images were captured at an angle
from above and below the cross-brace, allowing reconstruction of the canvas stamps shown in Figure 9.
Wavelength, λ (nm)
625 nm
(VIS-Red)455 nm
(VIS-Violet)
470 nm
(VIS-Blue)
505 nm
(VIS-Cyan)
535 nm
(VIS-Green)
570 nm
(VIS-Amber)
LED Spectra
λ
700 nm
(IR)
735 nm
(IR)
780 nm
(IR)
870 nm
(IR)
940 nm
(IR)
365 nm
(UV)
RECONSTRUCTION OF CANVAS MAKER’S STAMPS
Figure 9. Details of canvas stamps A (a) and B (b) identified in Figure 8. The two stamps were reconstructed
from transmitted IR images captured at an angle from above and below the horizontal cross-brace of the
stretcher, aligned with the transmitted IR orthophoto exported from the 3D model, and stitched together.
The text of the stamps is interpreted as “HOLT/ ARTISTS’ COLOURMAN/ 80 GOSWELL ROAD/ Opposite
[illegible]/ ISLINGTON.” Available records indicate John Holt (b. 1802-1874) was initially active as an oil and
colourman and artists’colourman at 31 East St. (now called Chiltern St.), Marylebone, and later at 80 Goswell
Road, Islington, from 1834 to ca. 1860 (T. Bennett, 2015).
Figure 5. Emission spectra of light emitting diodes (LEDs) used
for multispectral reflectance imaging. Two panels consisting of
12 LEDs were used: one ultraviolet (UV), six visible, and five
infrared (IR).
Figure 6. One of 16 image cubes consisting of 12 wave-
bands captured using a MegaVision camera with a 50
megapixel monochrome CCD sensor and apochromatic
lens.
a
Reference:
Bennett, T. (2015). Photogrammetry and Transmitted Infrared Imaging to Document the Support of a 19th C. British Landscape Painting.
Manuscript accepted for publication in the e-bulletin of Color and Space in Cultural Heritage (COSCH).
ACKNOWLEDGEMENTS
Cultural Heritage Imaging (CHI), a 501(c)3 non-profit (culturalheritageimaging.org)
James Wright, Conservator, Somerville, Massachusetts, USA
Kept Art Restoration (www.keptartrestoration.com)
Giovanni Landi, Mixed Reality Architect, Piazza Santa Brigida 15/16a, 16123, Genova, Italy
REFLECTANCE TRANSFORMATION IMAGING (RTI)
MULTISPECTRAL IMAGING TRANSMITTED INFRARED IMAGING
b
a
a b
b
a. UV Reflectance (365 nm) b. UV-Induced Visible Fluorescence c. Infrared Reflectance (940 nm)
Figure 7.
FUTURE WORK
a. UV reflectance (365 nm). Dark patches in sky indicate retouching, possibly with titanium white, a pigment
introduced in the 1920s.
b. UV-induced visible fluorescence using 365 nm excitation wavelength and a UV blocking filter on the lens to
block reflected UV. Visible fluorescence image is reconstructed from three wavebands using red, green, and
blue bandpass filters on the lens (Wratten #25, #58, and #47 filters, respectively).
c. Infraredreflectance(940nm),oneofthefiveinfraredreflectancewavebands(theotherfourinfraredwavebands
are centered at 700, 735, 780, and 870 nm).
Future work to understand the history and materials of this painting is anticipated to include the following:
• Pigment mapping to further define areas of retouching and to aid in selecting locations for possible non-invasive analysis,
such as x-ray fluorescence spectroscopy (XRF), Raman spectroscopy, and fiber-optic reflectance spectroscopy (FORS)
• Pigment sampling and analysis of cross-sections to assess the results of non-invasive techniques
• Comparison of the palette with similar paintings by known artists
• Further research into the history of the artists’ colourman, John Holt, who supplied the original canvas for the painting