scholarly journals Effects of Size and Shape on Perceived Color Differences

2017 ◽  
Vol 17 (10) ◽  
pp. 1189
Author(s):  
Danielle Szafir
Keyword(s):  
Size And Shape ◽  
Color Differences ◽  
Perceived Color

scholarly journals What Color Does the Consumer See? Perceived Color Differences in Plastic Products in an LED-Lit Environment

2019 ◽  
Vol 11 (21) ◽  
pp. 5985 ◽  
Author(s):  
Xiao Dou ◽  
Chih-Fu Wu ◽  
Kai-Chieh Lin ◽  
Jeih-Jang Liou
Keyword(s):  
Acrylonitrile Butadiene Styrene ◽  
Visual Sensitivity ◽  
Color Temperature ◽  
Light Sources ◽  
Color Differences ◽  
Market Opportunities ◽  
Actual Color ◽  
Human Eyes ◽  
Perceived Color ◽  
Plastic Products

To attract customers and increase market opportunities, retailers frequently use lighting to highlight the color of their products. However, differences between perceived and actual color, triggered by display lighting, can motivate buyers to discard products after purchase. Few studies have been reported on differences in perceived color, caused by LEDs. This study focuses on two correlated color temperatures (2800 K, 4000 K) and illuminance levels (500 lx, 1500 lx) to create four LED-lit environments, and measures the differences in the color perceived by 20 observers on acrylonitrile–butadiene–styrene (ABS) plastics, with different surfaces, under these four environments. The results reveal that correlated color temperature results in larger perceived differences in color than illuminance, and the effects of LED light sources on green and yellow ABS plastic products are more obvious than their effects on red and blue products. One possible reason for this can be attributed to the visual sensitivity effect of human eyes. The results of this study can serve as a reference for designers fabricating ABS plastic products for practical lighting applications, and improving the role of LED lighting in sustainable development.

scholarly journals Characterization of Color Differences for Color Palettes

2020 ◽  
Vol 2020 (28) ◽  
pp. 232-236
Author(s):  
Jialu Wu ◽  
Jie Yang ◽  
Minchen Wei ◽  
Kaida Xiao ◽  
Stephen Westland
Keyword(s):  
Computer Graphics ◽  
Color Difference ◽  
Difference Model ◽  
Color Palette ◽  
Reference Set ◽  
Color Differences ◽  
Multiple Patches ◽  
Different Color ◽  
Perceived Color

Various color difference metrics were developed for characterizing the perceived color difference between individual color patches. Color difference between palettes containing multiple color patches, however, is critically important in product design and computer graphics. This study aimed to investigate how the perceived color difference between a pair of color palettes containing more than a single color patch is affected by the order and number of color patches in the palette. Two reference color sets were generated and each set had four color palettes containing 1, 4, 9, and 16 color patches that were arranged as 1 × 1, 2 × 2, 3 × 3, and 4 × 4 patterns. Human observers scaled the color differences between a color palette of the reference set and a color palette that had revised colors, or revised orders, or a combination of revised colors and orders compared to the reference palette. The calculated color differences between the two palettes were derived using the Minimum Color Difference Model (MICDM) algorithm proposed in a recent work with different color difference metrics, including CIELAB, CMC, CIE94, and DE2000. It was found that the perceived color differences of pairs of individual color patches were significantly larger than those containing multiple patches, when the calculated color differences were the same. The color differences metrics, except for CIE94, had similar performance when characterizing perceived color differences between color palettes.

Color Similarity in Visual Search

2007 ◽  
Vol 66 (4) ◽  
pp. 191-199 ◽  
Author(s):  
Ester Reijnen ◽  
Dieter Wallach ◽  
Markus Stöcklin ◽  
Tanja Kassuba ◽  
Klaus Opwis
Keyword(s):  
Visual Search ◽  
Pairwise Comparison ◽  
Perceived Similarity ◽  
Guided Search ◽  
Color Categories ◽  
Color Differences ◽  
Color Similarity ◽  
Time Required ◽  
Perceived Color

In the present study, we investigated the role of phenomenologically perceived color differences between stimuli in determining visual search efficiency. We contrasted this with predictions based on the categorical color status, as proposed by Wolfe’s Guided Search 2 model. We first asked participants to rate the color similarity of each pair of stimuli (pairwise comparison). The results were combined using multidimensional scaling to produce a similarity metric, which was subsequently used to define stimulus similarities for two visual search experiments. The results demonstrate that the time required by participants to find a target is more adequately explained by the perceived similarity of colors than by color categories.

Unbiased estimation of particle number and sizes using the new stereological tools: the disector, the fractionator, the selector, and the nucleator — or just point-sampled intercepts

1988 ◽  
Vol 46 ◽  
pp. 428-429
Author(s):  
H.J.G. Gundersen
Keyword(s):  
Particle Number ◽  
Small Distance ◽  
Parallel Plane ◽  
Unbiased Estimation ◽  
Severe Problem ◽  
New Era ◽  
Size And Shape ◽  
Distinct Property ◽  
Sectioned Tissue

Previously, all stereological estimation of particle number and sizes were based on models and notoriously gave biased results, were very inefficient to use and difficult to justify. For all references to old methods and a direct comparison with unbiased methods see recent reviews.The publication in 1984 of the DISECTOR, the first unbiased stereological probe for sampling and counting 3—D objects irrespective of their size and shape, signalled the new era in stereology — and give rise to a number of remarkably simple and efficient techniques based on its distinct property: It is the only known way to obtain an unbiased sample of 3-D objects (cells, organelles, etc). The principle is simple: within a 2-D unbiased frame count or sample only cells which are not hit by a parallel plane at a known, small distance h.The area of the frame and h must be known, which might sometimes in itself be a problem, albeit usually a small one. A more severe problem may arise because these constants are known at the scale of the fixed, embedded and sectioned tissue which is often shrunken considerably.

The influence of confocal microscope design on imaging performance

1993 ◽  
Vol 51 ◽  
pp. 144-145
Author(s):  
C J R Sheppard
Keyword(s):  
Image Quality ◽  
Fluorescence Imaging ◽  
Confocal Microscope ◽  
Industrial Applications ◽  
Three Dimensions ◽  
Design Parameters ◽  
Weak Signals ◽  
Size And Shape ◽  
Imaging Performance ◽  
Fundamental Limitation

The confocal microscope is now widely used in both biomedical and industrial applications for imaging, in three dimensions, objects with appreciable depth. There are now a range of different microscopes on the market, which have adopted a variety of different designs. The aim of this paper is to explore the effects on imaging performance of design parameters including the method of scanning, the type of detector, and the size and shape of the confocal aperture.It is becoming apparent that there is no such thing as an ideal confocal microscope: all systems have limitations and the best compromise depends on what the microscope is used for and how it is used. The most important compromise at present is between image quality and speed of scanning, which is particularly apparent when imaging with very weak signals. If great speed is not of importance, then the fundamental limitation for fluorescence imaging is the detection of sufficient numbers of photons before the fluorochrome bleaches.

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