Quantifying Human Visible Color Variation from High Definition Digital Images of Orb Web Spiders.
Digital processing and analysis of high resolution images of 30 individuals of the orb web spider Verrucosa arenata were performed to extract and quantify human visible colors present on the dorsal abdomen of this species. Color extraction was performed with minimal user intervention using an unsupe...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2016-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC5130188?pdf=render |
| _version_ | 1811295165656072192 |
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| author | Horacio Tapia-McClung Helena Ajuria Ibarra Dinesh Rao |
| author_facet | Horacio Tapia-McClung Helena Ajuria Ibarra Dinesh Rao |
| author_sort | Horacio Tapia-McClung |
| collection | DOAJ |
| description | Digital processing and analysis of high resolution images of 30 individuals of the orb web spider Verrucosa arenata were performed to extract and quantify human visible colors present on the dorsal abdomen of this species. Color extraction was performed with minimal user intervention using an unsupervised algorithm to determine groups of colors on each individual spider, which was then analyzed in order to quantify and classify the colors obtained, both spatially and using energy and entropy measures of the digital images. Analysis shows that the colors cover a small region of the visible spectrum, are not spatially homogeneously distributed over the patterns and from an entropic point of view, colors that cover a smaller region on the whole pattern carry more information than colors covering a larger region. This study demonstrates the use of processing tools to create automatic systems to extract valuable information from digital images that are precise, efficient and helpful for the understanding of the underlying biology. |
| first_indexed | 2024-04-13T05:29:17Z |
| format | Article |
| id | doaj.art-4c5a1a03b2474b119a5ab4e6b1706d7a |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-13T05:29:17Z |
| publishDate | 2016-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-4c5a1a03b2474b119a5ab4e6b1706d7a2022-12-22T03:00:30ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-011111e016637110.1371/journal.pone.0166371Quantifying Human Visible Color Variation from High Definition Digital Images of Orb Web Spiders.Horacio Tapia-McClungHelena Ajuria IbarraDinesh RaoDigital processing and analysis of high resolution images of 30 individuals of the orb web spider Verrucosa arenata were performed to extract and quantify human visible colors present on the dorsal abdomen of this species. Color extraction was performed with minimal user intervention using an unsupervised algorithm to determine groups of colors on each individual spider, which was then analyzed in order to quantify and classify the colors obtained, both spatially and using energy and entropy measures of the digital images. Analysis shows that the colors cover a small region of the visible spectrum, are not spatially homogeneously distributed over the patterns and from an entropic point of view, colors that cover a smaller region on the whole pattern carry more information than colors covering a larger region. This study demonstrates the use of processing tools to create automatic systems to extract valuable information from digital images that are precise, efficient and helpful for the understanding of the underlying biology.http://europepmc.org/articles/PMC5130188?pdf=render |
| spellingShingle | Horacio Tapia-McClung Helena Ajuria Ibarra Dinesh Rao Quantifying Human Visible Color Variation from High Definition Digital Images of Orb Web Spiders. PLoS ONE |
| title | Quantifying Human Visible Color Variation from High Definition Digital Images of Orb Web Spiders. |
| title_full | Quantifying Human Visible Color Variation from High Definition Digital Images of Orb Web Spiders. |
| title_fullStr | Quantifying Human Visible Color Variation from High Definition Digital Images of Orb Web Spiders. |
| title_full_unstemmed | Quantifying Human Visible Color Variation from High Definition Digital Images of Orb Web Spiders. |
| title_short | Quantifying Human Visible Color Variation from High Definition Digital Images of Orb Web Spiders. |
| title_sort | quantifying human visible color variation from high definition digital images of orb web spiders |
| url | http://europepmc.org/articles/PMC5130188?pdf=render |
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