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.
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