Image Harvest


University of Nebraska-Lincoln

Overview

Measured variables surface, convex-hull, width, height, diameter
Operating system mac, windows, linux
Licence open-source, freeware
Automation level automated
Plant requirements any
Export formats csv
Other information -

Scientific article(s)

Image Harvest: an open-source platform for high-throughput plant image processing and analysis
Avi C. Knecht, Malachy T. Campbell, Adam Caprez, David R. Swanson, Harkamal Walia
Journal of Experimental Botany, 2017 View paper

Description

Image Harvest (ih) is an open-source Python library for processing and analyzing plant images. The software uses OpenCV for image processing, and SciPy for statistics. Besides inclusion of stand-alone scripts to access processing and statistics functions, ih is integrated with Pegasus to create and submit workflows to super computers. Many software tools already exist to perform image analysis. The ability to create distributed computing workflows is one of the features that makes ih distinct. Workflow generation is completely adaptable to any input, and can be customized using many different modular processing components.


Source: Image Harvest webpage

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