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Grayscale Color Map
Known as:
Grayscale
A color map composed of shades of gray, varying from black at the weakest intensity to white at the strongest.
National Institutes of Health
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
Morphological Segmentation for Textures and Particles
L. Vincent
,
E. Dougherty
2020
Corpus ID: 49235498
The present chapter concerns image segmentation via the methods of morphological image processing. A generally accepted meaning…
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Highly Cited
2014
Highly Cited
2014
High performance liquid crystal displays with a low dielectric constant material
Haiwei Chen
,
F. Peng
,
+5 authors
W. Tsai
2014
Corpus ID: 18964863
We report high performance liquid crystal displays (LCDs), including fringe field switching (p-FFS) and in-plane switching (p-IPS…
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Highly Cited
2012
Highly Cited
2012
A Secret-Sharing-Based Method for Authentication of Grayscale Document Images via the Use of the PNG Image With a Data Repair Capability
Che-Wei Lee
,
Wen-Hsiang Tsai
IEEE Transactions on Image Processing
2012
Corpus ID: 1708346
A new blind authentication method based on the secret sharing technique with a data repair capability for grayscale document…
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Highly Cited
2011
Highly Cited
2011
Spatio-Temporal Retinex-Inspired Envelope with Stochastic Sampling: A Framework for Spatial Color Algorithms
Øyvind Kolås
,
I. Farup
,
A. Rizzi
2011
Corpus ID: 55104653
This is the copy of journal's version originally published in Journal of Imaging Science and Technology. Reprinted with…
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Highly Cited
2010
Highly Cited
2010
In vivo determination of urinary stone composition using dual energy computerized tomography with advanced post-acquisition processing.
D. Zilberman
,
Michael N. Ferrandino
,
G. Preminger
,
E. Paulson
,
M. Lipkin
,
D. Boll
Journal of Urology
2010
Corpus ID: 30277859
Highly Cited
2010
Highly Cited
2010
An Extension of the Standard Mixture Model for Image Segmentation
T. Nguyen
,
Q. M. J. Wu
,
Siddhant Ahuja
IEEE Transactions on Neural Networks
2010
Corpus ID: 1792659
Standard Gaussian mixture modeling (GMM) is a well-known method for image segmentation. However, the pixels themselves are…
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Highly Cited
2009
Highly Cited
2009
Quantification of material nonlinearity in relation to microdamage density using nonlinear reverberation spectroscopy: Experimental and theoretical study.
K. Van Den Abeele
,
P. Le Bas
,
B. van Damme
,
Tomasz Katkowski
Journal of the Acoustical Society of America
2009
Corpus ID: 33453999
High amplitude vibrations induce amplitude dependence of the characteristic resonance parameters (i.e., resonance frequency and…
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Highly Cited
2004
Highly Cited
2004
Measurements of the effect of surface slant on perceived lightness.
C. Ripamonti
,
Marina Bloj
,
+4 authors
D. Brainard
Journal of Vision
2004
Corpus ID: 29628627
When a planar object is rotated with respect to a directional light source, the reflected luminance changes. If surface lightness…
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Highly Cited
2004
Highly Cited
2004
GRAYSCALE IMAGE MATTING AND COLORIZATION
Tongbo Chen
,
Yan Wang
,
Volker Schillings
,
C. Meinel
2004
Corpus ID: 15928577
This paper presents a novel approach to grayscale image matting and colorization. The first part of this approach is an efficient…
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Highly Cited
1999
Highly Cited
1999
MACH filter synthesizing for detecting targets in cluttered environment for grayscale optical correlator
Hanying Zhou
,
T. Chao
Defense, Security, and Sensing
1999
Corpus ID: 53487005
We have recently demonstrated a compact, high speed, gray- scale optical correlator for target detection. The capability of the…
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