Measurement system of starch particles using digital images
This paper introduces a vision system capable of identifying and measuring achira starch particles. It focuses on identifying the particle and calculating the area of each particle when they are exposed to different temperatures. This tool serves to characterize starch types which are not well known...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Universidad del Zulia
2016-05-01
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| Series: | Revista Técnica de la Facultad de Ingeniería |
| Subjects: | |
| Online Access: | https://www.produccioncientificaluz.org/index.php/tecnica/article/view/21096 |
| _version_ | 1811296964835278848 |
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| author | Juan Carlos de Jesús Reséndiz Antonio Hernández Zavala Ma. Guadalupe del Carmen Méndez Montealvo José Joel González Barbosa Heidi Andrea Fonseca Florido Carlos Alberto Gómez Aldapa |
| author_facet | Juan Carlos de Jesús Reséndiz Antonio Hernández Zavala Ma. Guadalupe del Carmen Méndez Montealvo José Joel González Barbosa Heidi Andrea Fonseca Florido Carlos Alberto Gómez Aldapa |
| author_sort | Juan Carlos de Jesús Reséndiz |
| collection | DOAJ |
| description | This paper introduces a vision system capable of identifying and measuring achira starch particles. It focuses on identifying the particle and calculating the area of each particle when they are exposed to different temperatures. This tool serves to characterize starch types which are not well known but are available as economic alternative sources. The system is composed of three stages: the image segmentation algorithms implemented in MATLAB software using morphological transformation operators, the Watershed technique of controlled markers segmentation, and the properties calculation out of the binarized and segmented image. As results, we have a clear segmentation where the efficient particle count and the correct identification of the area of each particle is observed. Nevertheless, the project did not reach all the expect due to the extended particles lost the maltese cross. |
| first_indexed | 2024-04-13T05:57:04Z |
| format | Article |
| id | doaj.art-b9a86709dc6a445a9d1bf616d0e52265 |
| institution | Directory Open Access Journal |
| issn | 0254-0770 2477-9377 |
| language | English |
| last_indexed | 2024-04-13T05:57:04Z |
| publishDate | 2016-05-01 |
| publisher | Universidad del Zulia |
| record_format | Article |
| series | Revista Técnica de la Facultad de Ingeniería |
| spelling | doaj.art-b9a86709dc6a445a9d1bf616d0e522652022-12-22T02:59:36ZengUniversidad del ZuliaRevista Técnica de la Facultad de Ingeniería0254-07702477-93772016-05-01391Measurement system of starch particles using digital imagesJuan Carlos de Jesús Reséndiz0Antonio Hernández Zavala1Ma. Guadalupe del Carmen Méndez Montealvo2José Joel González Barbosa3Heidi Andrea Fonseca Florido4Carlos Alberto Gómez Aldapa5Instituto Politécnico Nacional-MexicoInstituto Politécnico Nacional-MexicoPolitécnico Nacional-MexicoPolitécnico Nacional-MexicoPolitécnico Nacional,Universidad Autónoma del Estado de Hidalgo-MexicoUniversidad Autónoma del Estado de Hidalgo-MexicoThis paper introduces a vision system capable of identifying and measuring achira starch particles. It focuses on identifying the particle and calculating the area of each particle when they are exposed to different temperatures. This tool serves to characterize starch types which are not well known but are available as economic alternative sources. The system is composed of three stages: the image segmentation algorithms implemented in MATLAB software using morphological transformation operators, the Watershed technique of controlled markers segmentation, and the properties calculation out of the binarized and segmented image. As results, we have a clear segmentation where the efficient particle count and the correct identification of the area of each particle is observed. Nevertheless, the project did not reach all the expect due to the extended particles lost the maltese cross.https://www.produccioncientificaluz.org/index.php/tecnica/article/view/21096Digital imageGranulometryMathematical MorphologySegmentationStarch |
| spellingShingle | Juan Carlos de Jesús Reséndiz Antonio Hernández Zavala Ma. Guadalupe del Carmen Méndez Montealvo José Joel González Barbosa Heidi Andrea Fonseca Florido Carlos Alberto Gómez Aldapa Measurement system of starch particles using digital images Revista Técnica de la Facultad de Ingeniería Digital image Granulometry Mathematical Morphology Segmentation Starch |
| title | Measurement system of starch particles using digital images |
| title_full | Measurement system of starch particles using digital images |
| title_fullStr | Measurement system of starch particles using digital images |
| title_full_unstemmed | Measurement system of starch particles using digital images |
| title_short | Measurement system of starch particles using digital images |
| title_sort | measurement system of starch particles using digital images |
| topic | Digital image Granulometry Mathematical Morphology Segmentation Starch |
| url | https://www.produccioncientificaluz.org/index.php/tecnica/article/view/21096 |
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