NaturalHistoryMuseum/vision

Name: vision

Owner: Natural History Museum

Description: James Durrant's experimental insect analysis work

Created: 2015-07-20 12:26:58.0

Updated: 2016-08-16 12:54:26.0

Pushed: 2016-09-07 16:05:46.0

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Size: 13932

Language: Python

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README

Computer Vision for biological specimen images

These are a set of tools for extracting metadata from specimen images. They include methods for determining specific properties of specimens, as well as general pre-processing tools.

Pre-processing

These can be used as a first step in making a specimen image more usable by automated methods.

Segmentation

Separates a specimen from the image background and produces a mask. This gives a silhouette that can be used for analysing the shape, as well as any other analysis that requires the background to be ignored.

Determining image scale

Given an image that contains a ruler, this method determines the scale that the image was taken at. This enables conversion between measurements in pixels and measurements in real world units.

Metadata

A set of methods for analysing specific properties. Currently this is limited to a set of butterflies and moths.

Morphometrics

Determining the area of the specimen's wings, as well as the length of the wing's leading edge.

Colour analysis

For an image, or a set of images, this finds the set of dominant colours. This can be helpful for comparison between species as well as simple visualisation.


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.