2023
DOI: 10.1016/j.mex.2023.102377
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SHINE_color: Controlling low-level properties of colorful images

Rodrigo Dal Ben
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Cited by 5 publications
(2 citation statements)
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“…The visual stimuli consisted of colored RGB Gabor patches (orange standards: RGB 229 133 126, magenta targets: RGB 229 90 172, green fixation point for participants #1-15: RGB 151 199 62; purple fixation point for participants #16-37: RGB 180 137 205) with a 10-degree orientation and a frequency of 0.1 cycles/pixel, created using an online Gabor-patch generator (https://www.cogsci.nl/gabor-generator). Visual stimuli were made isoluminant with the grey screen background (RGB 167 167 167) using the SHINEcolor toolbox (Dal Ben, 2023). The visual and auditory stimuli were presented at average frequencies of 1.1 Hz and 1.4 Hz, respectively.…”
Section: Methodsmentioning
confidence: 99%
“…The visual stimuli consisted of colored RGB Gabor patches (orange standards: RGB 229 133 126, magenta targets: RGB 229 90 172, green fixation point for participants #1-15: RGB 151 199 62; purple fixation point for participants #16-37: RGB 180 137 205) with a 10-degree orientation and a frequency of 0.1 cycles/pixel, created using an online Gabor-patch generator (https://www.cogsci.nl/gabor-generator). Visual stimuli were made isoluminant with the grey screen background (RGB 167 167 167) using the SHINEcolor toolbox (Dal Ben, 2023). The visual and auditory stimuli were presented at average frequencies of 1.1 Hz and 1.4 Hz, respectively.…”
Section: Methodsmentioning
confidence: 99%
“…Figure 1 illustrates how the scene photos from the studies were categorized into four cases: constant upright scene, inconsistent upright scene, consistent inverted scene, and inconsistent inverted scene. All photos were transformed to grayscale maps, and the images were then equalized by SHINE Toolbox to make sure the tests were unaffected by other low-level properties (brightness, contrast, and grayscale) [14] .…”
Section: Stimulimentioning
confidence: 99%