Name: Quantitative Evaluation of Soybean Leaflet Shapes
Start: 2019-10-21T19:00:00-05:00
End: 2019-10-21T21:00:00-05:00
Location: Human Spaces

Fourier descriptors are a way of encoding the shape of a two-dimensional using the Fourier transform. The authors use Fourier descriptors to encode the shapes of 375 soybean leaflets and describe a method for using principal component analysis to understand the morphological meanings of the Fourier coefficients. Principal component #5 will shock you!

Read the paper here: https://www.jstage.jst.go.jp/article/jsbbs1951/45/3/45_3_315/_pdf

Michael Kiwala finds practical solutions to complex problems. From implementing petabyte-scale workflows for cancer genomics to global-scale satellite image analysis for agriculture, he is excited to continually learn new domains.

Food is sponsored this month by ej4, LLC. A big thanks to them for stepping in at the last minute to sponsor us!

Michael Kiwala

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Quantitative Evaluation of Soybean Leaflet Shapes

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Papers We Love (Saint Louis Chapter)

Quantitative Evaluation of Soybean Leaflet Shapes

Papers We Love (Saint Louis Chapter)

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