<mets:mets OBJID="oai:generic.eprints.org:126" LABEL="Eprints Item" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mets="http://www.loc.gov/METS/"><mets:metsHdr CREATEDATA="2012-02-09T09:25:40Z"><mets:agent TYPE="ORGANIZATION" ROLE="CUSTODIAN"><mets:name>The MIIS Eprints Archive</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_oai:generic.eprints.org:126_mods"><mets:mdWrap MDTYPE="mods"><mets:xmlData><mods:titleInfo><mods:title>Automatic Detection of Egg Shell Cracks</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">Rachel</mods:namePart><mods:namePart type="family">Kuske</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">David</mods:namePart><mods:namePart type="family">Lyder</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">Jonathan</mods:namePart><mods:namePart type="family">Samuel</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">Chris</mods:namePart><mods:namePart type="family">Soteros</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">David</mods:namePart><mods:namePart type="family">Wolfe</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>The challenge was to find a reliable, non-intrusive means of detecting cracks in eggs. Intensity data from eggs were collected by VisionSmart for the group to analyse. Given the short time period three main questions were addressed.
1) Is there a feature of the intensity data which detects, and discriminates between pinholes, cage marks and cracks?
2) Are there ways to improve the current data collection process?
3) Are there other data collection methods which should be tried?
A partial positive response to 1) is presented and describes the many problems that arose. Some answers to 2) and 3) are also presented.</mods:abstract><mods:classification authority="lcc">Food and Drink</mods:classification><mods:classification authority="lcc">Retail</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">1998-06-05</mods:dateIssued></mods:originInfo><mods:genre>Study Group Report</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_oai:generic.eprints.org:126"><mets:rightsMD ID="rights_oai:generic.eprints.org:126_mods"><mets:mdWrap MDTYPE="mods"><mets:xmlData><mods:useAndReproduction>
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