Guava fruit ripening optic inspection systems by means of digital image analysis

The agriculture industry is profoundly affected by subjectivity in quality inspection of fruits and vegetables. Quality in fruits is typically determined on a sample of the total population by destructive means and inference is performed on the rest of the population. Due to these factors non-destru...

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Tipo de recurso:
Fecha de publicación:
2007
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
spa
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/1610
Acceso en línea:
https://hdl.handle.net/20.500.12585/1610
Palabra clave:
Procesamiento digital de imágenes
Imágenes ópticas
Óptica física
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
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spelling Los usuarios del Repositorio de la UTB estarán autorizados para adaptar, transformar y crear a partir del contenido de esta publicación incluso para fines comerciales, sin embargo toda obra derivada de la publicación original deberá ser distribuida bajo la misma licencia CC-BY-SA. El autor o autores, sin excepción deberán ser claramente identificados como titulares de los derechos de autor de la publicación original.http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Romero Pérez, Lenny AlexandraMarrugo Hernández, Andrés GuillermoCartagena de Indias2019-10-18T18:45:42Z2019-10-18T18:45:42Z200720072007(ALEPH)000019262UTB01(janium) 1955819556https://hdl.handle.net/20.500.12585/1610Universidad Tecnológica de BolívarRepositorio UTB621.367 M361The agriculture industry is profoundly affected by subjectivity in quality inspection of fruits and vegetables. Quality in fruits is typically determined on a sample of the total population by destructive means and inference is performed on the rest of the population. Due to these factors non-destructive testing of fruits and vegetables has come forth and becoming and industry standard. Given that Guava (Psidium guajava) is a tropical fruit of major commercial impact in the country and in the region [8, 9], that is practically cultivated in every tropical and subtropical region of the world [10] the present work estimates its suitability for non-destructive testing. Nondestructive information from the fruit was acquired by means of digital image analysis and corroborated with traditional physical-chemical methods involving the measurement of total soluble solids (TSS) and titratable acidity (TA). Predominant color content (PCC) was determined, as well as its evolution, for identifying its relationship with TSS and TA. While TSS and TA behavior was as reported in literature and PCC behavior was as expected, no reliable relation was found probably due to the fruits respiration patterns. A similarity scheme was undertaken using color coherence vectors (CCV), an image color content retrieval algorithm, which assumes that two similar guava fruit images represent similar internal properties. This method shows recognizable correlation within the studied samples.85 hCd-Romapplication/pdfspahttp://biblioteca.utb.edu.co/notas/tesis/0043149.pdfProcesamiento digital de imágenesImágenes ópticasÓptica físicaGuava fruit ripening optic inspection systems by means of digital image analysisUniversidad Tecnológica de Bolívarinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_7a1fhttp://purl.org/coar/resource_type/c_7a1fIngeniería MecatrónicaTesis pregradoIngeniero MecatrónicoUniversidad Tecnológica de BolívarORIGINAL0043149.pdfapplication/pdf14166479https://repositorio.utb.edu.co/bitstream/20.500.12585/1610/1/0043149.pdf9c4ff9e1fac5ee2b6d70e0b9e3b046b8MD51TEXT0043149.pdf.txt0043149.pdf.txtExtracted texttext/plain132311https://repositorio.utb.edu.co/bitstream/20.500.12585/1610/4/0043149.pdf.txtf180c13eb777547da712396c6b383adfMD54THUMBNAIL0043149.pdf.jpg0043149.pdf.jpgGenerated Thumbnailimage/jpeg27586https://repositorio.utb.edu.co/bitstream/20.500.12585/1610/5/0043149.pdf.jpg3f92e4cf2ea077b3345d3e042790573eMD5520.500.12585/1610oai:repositorio.utb.edu.co:20.500.12585/16102023-05-26 16:32:29.454Repositorio Institucional UTBrepositorioutb@utb.edu.co
dc.title.none.fl_str_mv Guava fruit ripening optic inspection systems by means of digital image analysis
title Guava fruit ripening optic inspection systems by means of digital image analysis
spellingShingle Guava fruit ripening optic inspection systems by means of digital image analysis
Procesamiento digital de imágenes
Imágenes ópticas
Óptica física
title_short Guava fruit ripening optic inspection systems by means of digital image analysis
title_full Guava fruit ripening optic inspection systems by means of digital image analysis
title_fullStr Guava fruit ripening optic inspection systems by means of digital image analysis
title_full_unstemmed Guava fruit ripening optic inspection systems by means of digital image analysis
title_sort Guava fruit ripening optic inspection systems by means of digital image analysis
dc.contributor.advisor.none.fl_str_mv Romero Pérez, Lenny Alexandra
dc.subject.other.none.fl_str_mv Procesamiento digital de imágenes
Imágenes ópticas
Óptica física
topic Procesamiento digital de imágenes
Imágenes ópticas
Óptica física
description The agriculture industry is profoundly affected by subjectivity in quality inspection of fruits and vegetables. Quality in fruits is typically determined on a sample of the total population by destructive means and inference is performed on the rest of the population. Due to these factors non-destructive testing of fruits and vegetables has come forth and becoming and industry standard. Given that Guava (Psidium guajava) is a tropical fruit of major commercial impact in the country and in the region [8, 9], that is practically cultivated in every tropical and subtropical region of the world [10] the present work estimates its suitability for non-destructive testing. Nondestructive information from the fruit was acquired by means of digital image analysis and corroborated with traditional physical-chemical methods involving the measurement of total soluble solids (TSS) and titratable acidity (TA). Predominant color content (PCC) was determined, as well as its evolution, for identifying its relationship with TSS and TA. While TSS and TA behavior was as reported in literature and PCC behavior was as expected, no reliable relation was found probably due to the fruits respiration patterns. A similarity scheme was undertaken using color coherence vectors (CCV), an image color content retrieval algorithm, which assumes that two similar guava fruit images represent similar internal properties. This method shows recognizable correlation within the studied samples.
publishDate 2007
dc.date.created.none.fl_str_mv 2007
dc.date.issued.none.fl_str_mv 2007
dc.date.other.none.fl_str_mv 2007
dc.date.accessioned.none.fl_str_mv 2019-10-18T18:45:42Z
dc.date.available.none.fl_str_mv 2019-10-18T18:45:42Z
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(janium) 19558
19556
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dc.identifier.instname.none.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.none.fl_str_mv Repositorio UTB
dc.identifier.ddc.none.fl_str_mv 621.367 M361
identifier_str_mv (ALEPH)000019262UTB01
(janium) 19558
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Universidad Tecnológica de Bolívar
Repositorio UTB
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language spa
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dc.rights.uri.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.cc.none.fl_str_mv Atribución-NoComercial 4.0 Internacional
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Atribución-NoComercial 4.0 Internacional
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eu_rights_str_mv openAccess
dc.format.extent.none.fl_str_mv 85 h
dc.format.medium.none.fl_str_mv Cd-Rom
dc.format.mimetype.none.fl_str_mv application/pdf
dc.coverage.spatial.none.fl_str_mv Cartagena de Indias
dc.publisher.university.none.fl_str_mv Universidad Tecnológica de Bolívar
institution Universidad Tecnológica de Bolívar
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