otolith-package: Identification of fish otolith using digital images
In jinyung/otolith: Identification of fish otolith using digital images

A package provides tools to process digital images of fish otoliths and building identification tools based on geometric morphometrics.

This package forms a part of the project on the study of Malaysian fish otolith with the following members:

Featured functions in this package:

Image processing

`extractout`	automated outline extraction from otolith image
`comb` / `equaldist`	automated sampling of curvilinear semi-landmarks
`img2landmark`	wrapper to batch convert otolith images into semi-landmarks

Classification

`agglda`	aggregate LDA models based on iterated k-fold resampling
`mrkfcv` / `mrkfcv2`	iterated k-fold cross -validation (kfcv)
`pccv` / `harcv` / `threcv`	evaluation of dimension reduction / posterior probability thresholding
	based on iterated kfcv

Search and Prediction

`otosearch`	search unknown otolith image(s) against a project database,
	regardless of otolith's side and orientation
`otopred`	predict unknown otolith image(s) against a project database,
	based on classification model