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Detecting Nematode Features from Digital Images
Authors:N. Pérez de la Blanca  J. Fdez-Valdivia  P. Castillo  A. Gómez-Barcina
Abstract:Procedures for estimating and calibrating nematode features from digitial images are described and evaluated by illustration and mathematical formulae. Technical problems, such as capturing and cleaning raw images, standardizing the grey level range of images, and the detection of characteristics of the body habitus, presence or absence of stylet knobs, and tail and lip region shape are discussed. This study is the first of a series aimed at developing a set of automated methods to permit more rapid, objective characterizations of nematode features than is achievable by cumbersome conventional methods.
Keywords:Ampliraerlinius longicauda   digital images   digitization   Ditylenchus dipsaci   feature estimation   Filenchus thornei   nematode   Rotylenchus cazorlaensis   Rotylenchus magnus   Spain
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