CATI: Application of image analysis systems for seed coat fragment detection and on other fibre characterization
Research conducted by Cirad in the 1990s focussed on reducing the number of seed coat fragments (SCF) in cotton lint. Technologies were therefore developed to characterize cotton samples and the TRASHCAM project was initiated to develop a sample preparation technique and the software for counting and sizing SCF in cotton webs. Various CATI software systems were produced to analyse images captured on a grey scale (256 grey levels). This technology was then showed to be effective for SCF in breeding programmes, but was dependent upon the preparation technique, which involved using a mini-card that is assumed to remove everything in the lint but SCF. Other preparation devices were tested, but impurities remained in the cotton web together with the SCF. To overcome this problem, software was developed that took into account the colour of the foreign matter in the lint. This software, called CATI, proved to be effective and thanks to its versatility was considered as potentially of interest for determining the number of dark or stained wool fibres in wool webs. Results obtained with this software in the measurement of dark and stained fibres in wool webs are presented in this paper.
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Subjects: | Q60 - Traitement des produits agricoles non alimentaires, coton, Gossypium, graine de coton, égrenage du coton, pureté, sélection, qualité technologique, méthode, analyse d'image, http://aims.fao.org/aos/agrovoc/c_1926, http://aims.fao.org/aos/agrovoc/c_3335, http://aims.fao.org/aos/agrovoc/c_25473, http://aims.fao.org/aos/agrovoc/c_34005, http://aims.fao.org/aos/agrovoc/c_26812, http://aims.fao.org/aos/agrovoc/c_6951, http://aims.fao.org/aos/agrovoc/c_29772, http://aims.fao.org/aos/agrovoc/c_4788, http://aims.fao.org/aos/agrovoc/c_36762, |
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dig-cirad-fr-5271902024-01-28T13:42:16Z http://agritrop.cirad.fr/527190/ http://agritrop.cirad.fr/527190/ CATI: Application of image analysis systems for seed coat fragment detection and on other fibre characterization. Gourlot Jean-Paul, Giner Michel, Hunter Lawrence, Boubaker Mohamed, Dréan Jean-Yves. 2005. In : Proceedings of the Beltwide Cotton Conference 2005, New Orleans, USA, 4-7/01/05. NCC, The Cotton foundation. Memphis : NCCA, 2318-2327. Beltwide Cotton Conferences, New Orleans, États-Unis, 4 Janvier 2005/7 Janvier 2005. CATI: Application of image analysis systems for seed coat fragment detection and on other fibre characterization Gourlot, Jean-Paul Giner, Michel Hunter, Lawrence Boubaker, Mohamed Dréan, Jean-Yves eng 2005 NCCA Proceedings of the Beltwide Cotton Conference 2005, New Orleans, USA, 4-7/01/05 Q60 - Traitement des produits agricoles non alimentaires coton Gossypium graine de coton égrenage du coton pureté sélection qualité technologique méthode analyse d'image http://aims.fao.org/aos/agrovoc/c_1926 http://aims.fao.org/aos/agrovoc/c_3335 http://aims.fao.org/aos/agrovoc/c_25473 http://aims.fao.org/aos/agrovoc/c_34005 http://aims.fao.org/aos/agrovoc/c_26812 http://aims.fao.org/aos/agrovoc/c_6951 http://aims.fao.org/aos/agrovoc/c_29772 http://aims.fao.org/aos/agrovoc/c_4788 http://aims.fao.org/aos/agrovoc/c_36762 Research conducted by Cirad in the 1990s focussed on reducing the number of seed coat fragments (SCF) in cotton lint. Technologies were therefore developed to characterize cotton samples and the TRASHCAM project was initiated to develop a sample preparation technique and the software for counting and sizing SCF in cotton webs. Various CATI software systems were produced to analyse images captured on a grey scale (256 grey levels). This technology was then showed to be effective for SCF in breeding programmes, but was dependent upon the preparation technique, which involved using a mini-card that is assumed to remove everything in the lint but SCF. Other preparation devices were tested, but impurities remained in the cotton web together with the SCF. To overcome this problem, software was developed that took into account the colour of the foreign matter in the lint. This software, called CATI, proved to be effective and thanks to its versatility was considered as potentially of interest for determining the number of dark or stained wool fibres in wool webs. Results obtained with this software in the measurement of dark and stained fibres in wool webs are presented in this paper. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/closedAccess http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=187158 |
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Q60 - Traitement des produits agricoles non alimentaires coton Gossypium graine de coton égrenage du coton pureté sélection qualité technologique méthode analyse d'image http://aims.fao.org/aos/agrovoc/c_1926 http://aims.fao.org/aos/agrovoc/c_3335 http://aims.fao.org/aos/agrovoc/c_25473 http://aims.fao.org/aos/agrovoc/c_34005 http://aims.fao.org/aos/agrovoc/c_26812 http://aims.fao.org/aos/agrovoc/c_6951 http://aims.fao.org/aos/agrovoc/c_29772 http://aims.fao.org/aos/agrovoc/c_4788 http://aims.fao.org/aos/agrovoc/c_36762 Q60 - Traitement des produits agricoles non alimentaires coton Gossypium graine de coton égrenage du coton pureté sélection qualité technologique méthode analyse d'image http://aims.fao.org/aos/agrovoc/c_1926 http://aims.fao.org/aos/agrovoc/c_3335 http://aims.fao.org/aos/agrovoc/c_25473 http://aims.fao.org/aos/agrovoc/c_34005 http://aims.fao.org/aos/agrovoc/c_26812 http://aims.fao.org/aos/agrovoc/c_6951 http://aims.fao.org/aos/agrovoc/c_29772 http://aims.fao.org/aos/agrovoc/c_4788 http://aims.fao.org/aos/agrovoc/c_36762 |
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Q60 - Traitement des produits agricoles non alimentaires coton Gossypium graine de coton égrenage du coton pureté sélection qualité technologique méthode analyse d'image http://aims.fao.org/aos/agrovoc/c_1926 http://aims.fao.org/aos/agrovoc/c_3335 http://aims.fao.org/aos/agrovoc/c_25473 http://aims.fao.org/aos/agrovoc/c_34005 http://aims.fao.org/aos/agrovoc/c_26812 http://aims.fao.org/aos/agrovoc/c_6951 http://aims.fao.org/aos/agrovoc/c_29772 http://aims.fao.org/aos/agrovoc/c_4788 http://aims.fao.org/aos/agrovoc/c_36762 Q60 - Traitement des produits agricoles non alimentaires coton Gossypium graine de coton égrenage du coton pureté sélection qualité technologique méthode analyse d'image http://aims.fao.org/aos/agrovoc/c_1926 http://aims.fao.org/aos/agrovoc/c_3335 http://aims.fao.org/aos/agrovoc/c_25473 http://aims.fao.org/aos/agrovoc/c_34005 http://aims.fao.org/aos/agrovoc/c_26812 http://aims.fao.org/aos/agrovoc/c_6951 http://aims.fao.org/aos/agrovoc/c_29772 http://aims.fao.org/aos/agrovoc/c_4788 http://aims.fao.org/aos/agrovoc/c_36762 Gourlot, Jean-Paul Giner, Michel Hunter, Lawrence Boubaker, Mohamed Dréan, Jean-Yves CATI: Application of image analysis systems for seed coat fragment detection and on other fibre characterization |
description |
Research conducted by Cirad in the 1990s focussed on reducing the number of seed coat fragments (SCF) in cotton lint. Technologies were therefore developed to characterize cotton samples and the TRASHCAM project was initiated to develop a sample preparation technique and the software for counting and sizing SCF in cotton webs. Various CATI software systems were produced to analyse images captured on a grey scale (256 grey levels). This technology was then showed to be effective for SCF in breeding programmes, but was dependent upon the preparation technique, which involved using a mini-card that is assumed to remove everything in the lint but SCF. Other preparation devices were tested, but impurities remained in the cotton web together with the SCF. To overcome this problem, software was developed that took into account the colour of the foreign matter in the lint. This software, called CATI, proved to be effective and thanks to its versatility was considered as potentially of interest for determining the number of dark or stained wool fibres in wool webs. Results obtained with this software in the measurement of dark and stained fibres in wool webs are presented in this paper. |
format |
conference_item |
topic_facet |
Q60 - Traitement des produits agricoles non alimentaires coton Gossypium graine de coton égrenage du coton pureté sélection qualité technologique méthode analyse d'image http://aims.fao.org/aos/agrovoc/c_1926 http://aims.fao.org/aos/agrovoc/c_3335 http://aims.fao.org/aos/agrovoc/c_25473 http://aims.fao.org/aos/agrovoc/c_34005 http://aims.fao.org/aos/agrovoc/c_26812 http://aims.fao.org/aos/agrovoc/c_6951 http://aims.fao.org/aos/agrovoc/c_29772 http://aims.fao.org/aos/agrovoc/c_4788 http://aims.fao.org/aos/agrovoc/c_36762 |
author |
Gourlot, Jean-Paul Giner, Michel Hunter, Lawrence Boubaker, Mohamed Dréan, Jean-Yves |
author_facet |
Gourlot, Jean-Paul Giner, Michel Hunter, Lawrence Boubaker, Mohamed Dréan, Jean-Yves |
author_sort |
Gourlot, Jean-Paul |
title |
CATI: Application of image analysis systems for seed coat fragment detection and on other fibre characterization |
title_short |
CATI: Application of image analysis systems for seed coat fragment detection and on other fibre characterization |
title_full |
CATI: Application of image analysis systems for seed coat fragment detection and on other fibre characterization |
title_fullStr |
CATI: Application of image analysis systems for seed coat fragment detection and on other fibre characterization |
title_full_unstemmed |
CATI: Application of image analysis systems for seed coat fragment detection and on other fibre characterization |
title_sort |
cati: application of image analysis systems for seed coat fragment detection and on other fibre characterization |
publisher |
NCCA |
url |
http://agritrop.cirad.fr/527190/ |
work_keys_str_mv |
AT gourlotjeanpaul catiapplicationofimageanalysissystemsforseedcoatfragmentdetectionandonotherfibrecharacterization AT ginermichel catiapplicationofimageanalysissystemsforseedcoatfragmentdetectionandonotherfibrecharacterization AT hunterlawrence catiapplicationofimageanalysissystemsforseedcoatfragmentdetectionandonotherfibrecharacterization AT boubakermohamed catiapplicationofimageanalysissystemsforseedcoatfragmentdetectionandonotherfibrecharacterization AT dreanjeanyves catiapplicationofimageanalysissystemsforseedcoatfragmentdetectionandonotherfibrecharacterization |
_version_ |
1792496213561442304 |