An image database of Drosophila melanogaster wings for phenomic and biometric analysis.

ABSTRACT:

Background

Extracting important descriptors and features from images of biological specimens is an ongoing challenge. Features are often defined using landmarks and semi-landmarks that are determined a priori based on criteria such as homology or some other measure of biological significance. An alternative, widely used strategy uses computational pattern recognition, in which features are acquired from the image de novo. Subsets of these features are then selected based on objective criteria. Computational pattern recognition has been extensively developed primarily for the classification of samples into groups, whereas landmark methods have been broadly applied to biological inference.

Results

To compare these approaches and to provide a general community resource, we have

SUBMITTER: Sonnenschein A 

PROVIDER: S-EPMC4942975 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature