{"title":"Impact of Geometric Features on Color Similarity Perception of Displayed 3D Tablets","authors":"Jiangping Yuan, Hua Li, Baohui Xu, G. Chen","doi":"10.2352/j.imagingsci.technol.2020.64.5.050404","DOIUrl":null,"url":null,"abstract":"Abstract To explore the effects of geometric features on the color similarity perception of displayed three-dimensional (3D) tablets designed by color 3D modeling techniques or printed by color 3D printing techniques, two subjective similarity scaling tasks were conducted\n for color tablets with four shape features (circular, oval, triangular-columnar, and rounded-cuboid shapes) and four notch features (straight V, straight U, crisscross V, and crisscross U shapes) displayed on a calibrated monitor using the nine-level category judgement method. Invited observers\n were asked to assort all displayed samples into tablet groups using six surface colors (aqua blue, bright green, pink, orange yellow, bright red, and silvery white), and all perceived similarity values were recorded and compared to original samples successively. The results showed that the\n similarity perception of tested tablets was inapparently affected by the given shape features and notch features, and it should be judged by a flexible interval rather than by a fixed color difference. This research provides practical insight into the visualization of color similarity perception\n for displayed personalized tablets to advance precision medicine by 3D printing.","PeriodicalId":15924,"journal":{"name":"Journal of Imaging Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Imaging Science and Technology","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.2352/j.imagingsci.technol.2020.64.5.050404","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY","Score":null,"Total":0}
引用次数: 1
Abstract
Abstract To explore the effects of geometric features on the color similarity perception of displayed three-dimensional (3D) tablets designed by color 3D modeling techniques or printed by color 3D printing techniques, two subjective similarity scaling tasks were conducted
for color tablets with four shape features (circular, oval, triangular-columnar, and rounded-cuboid shapes) and four notch features (straight V, straight U, crisscross V, and crisscross U shapes) displayed on a calibrated monitor using the nine-level category judgement method. Invited observers
were asked to assort all displayed samples into tablet groups using six surface colors (aqua blue, bright green, pink, orange yellow, bright red, and silvery white), and all perceived similarity values were recorded and compared to original samples successively. The results showed that the
similarity perception of tested tablets was inapparently affected by the given shape features and notch features, and it should be judged by a flexible interval rather than by a fixed color difference. This research provides practical insight into the visualization of color similarity perception
for displayed personalized tablets to advance precision medicine by 3D printing.
期刊介绍:
Typical issues include research papers and/or comprehensive reviews from a variety of topical areas. In the spirit of fostering constructive scientific dialog, the Journal accepts Letters to the Editor commenting on previously published articles. Periodically the Journal features a Special Section containing a group of related— usually invited—papers introduced by a Guest Editor. Imaging research topics that have coverage in JIST include:
Digital fabrication and biofabrication;
Digital printing technologies;
3D imaging: capture, display, and print;
Augmented and virtual reality systems;
Mobile imaging;
Computational and digital photography;
Machine vision and learning;
Data visualization and analysis;
Image and video quality evaluation;
Color image science;
Image archiving, permanence, and security;
Imaging applications including astronomy, medicine, sports, and autonomous vehicles.