Result: Analysis of insect and plant colors in digital images using java software on the internet

Title:
Analysis of insect and plant colors in digital images using java software on the internet
Authors:
BYERS, John A
Source:
Annals of the Entomological Society of America. 99(5):865-874
Publisher Information:
Lanham, MD: Entomological Society of America, 2006.
Publication Year:
2006
Physical Description:
print, 1 p.1/4
Original Material:
INIST-CNRS
Subject Terms:
Entomology, Entomologie, Sciences biologiques et medicales, Biological and medical sciences, Sciences biologiques fondamentales et appliquees. Psychologie, Fundamental and applied biological sciences. Psychology, Invertebres, Invertebrates, Insecta, Systématique. Répartition géographique, Systematics. Geographical distribution, Angiospermae, Arthropoda, Dicotyledones, Invertebrata, Malvaceae, Plante à fibres, Fiber crop, Planta de fibras, Spermatophyta, Analyse image, Image analysis, Análisis imagen, Coton, Cotton, Algodón, Couleur, Color, Gossypium hirsutum, Insecta, Logiciel, Software, Logicial, Vision, Visión, RGB, color analysis, cotton, image analysis, vision
Subject Geographic:
Asie, Asia, Indonésie, Indonesia, Java
Document Type:
Academic journal Article
File Description:
text
Language:
English
Author Affiliations:
Western Cotton Research Laboratory, USDA-ARS, 4135 East Broadway Road, Phoenix, AZ 85040, United States
ISSN:
0013-8746
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18075525
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Invertebrates
Accession Number:
edscal.18075525
Database:
PASCAL Archive

Further Information

Description of colors of insects and plants in biological research is often subjective and imprecise. A quantitative, statistical, and standardized method for describing colors by software analysis of digital images would be useful to researchers if readily available. An Internet Web page with JavaScript and Java applet was made that loads a digital image and analyzes the red, green, and blue (RGB) intensity components of the pixels in any rectangular area of relatively uniform color. A mean, standard deviation (SD), coefficient of variation, and percentage of each of the three color components in the area is calculated. Thus, a colored area in an image can be depicted objectively as R ± SD, G ± SD, and B ± SD, or percentages thereof, allowing mean color to be reproduced elsewhere by paint programs. For each analysis, the software uses the RGB component colors to make a bar graph with each RGB value and SD. The software was used to analyze colors of flowers and leaves of two cotton species, white and red varieties of upland, Cossypium hirsutum L., and Pima, Cossypium barbadense L. (Malvaceae); western tarnished plant bug, Lygus hesperus Knight (Heteroptera: Miridae); yellow plastic'used in insect traps; and eight other insect species. Three two-dimensional (2D) color-space diagrams (hexagon, 2D-cube, and ternary percentages) are described and used to plot colors from analyses. Statistical tests are presented that compare whether two groups of color-space points in three dimensions are significantly separated. Differences in color vision are compared in humans, insects, digital cameras, and spectroradiometers.