Carregant...
Miniatura

Tipus de document

Article

Versió

Versió publicada

Data de publicació

Llicència de publicació

cc-by (c) Stela, B. et al., 2016
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/107391

Facilitating the automatic characterisation, classification and description of biological images with the VisionBioShape package for R

Títol de la revista

Director/Tutor

ISSN de la revista

Títol del volum

Resum

Here, we present the VisioBioshapeR package for R [R Core, 2014]. This new library is a comprehensive, multifunctional toolbox designed to automatically analyse biological images. The package extends other common libraries (Momocs, ShapeR) used for biological shape analysis by allowing the user to extract closed contour outlines automatically from reading binary images. Current functionalities of VisioBioshapeR include: random extraction of image coordinates, analysis of the shape of a biological image by the elliptic Fourier descriptor (EFD) method, extraction of an image characteristic vector using multivariate principal component analysis (PCA) and geometrical analysis. The image vector of characteristics can be directly exported to a wide range of statistical packages in R and can be used to perform classification or other types of analysis in order to sort new images into classes. The package could prove useful in studies of any two-dimensional images and is presented with three examples of its application in ecology. The library is useful when multiple images are processed at a time and we wish to automate their analysis for example for recognition of images from patterns.

Matèries (anglès)

Citació

Citació

STELA, B., MONLEÓN GETINO, Toni. Facilitating the automatic characterisation, classification and description of biological images with the VisionBioShape package for R. _Open Access Library Journal_. 2016. Vol. 3, núm. e3108. [consulta: 20 de gener de 2026]. ISSN: 2333-9705. [Disponible a: https://hdl.handle.net/2445/107391]

Exportar metadades

JSON - METS

Compartir registre