An algorithm oriented to the classification of quinoa grains by color from digital images
11 páginas
| Autores principales: | , , , |
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| Formato: | info:eu-repo/semantics/bookPart |
| Lenguaje: | Inglés |
| Publicado: |
Springer Nature
2022
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/20.500.12955/1977 https://doi.org/10.1007/978-3-030-32022-5_23 |
| _version_ | 1855028566916333568 |
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| author | Quispe, Moisés Arroyo, José Kemper, Guillermo Soto Jeri, Jonell |
| author_browse | Arroyo, José Kemper, Guillermo Quispe, Moisés Soto Jeri, Jonell |
| author_facet | Quispe, Moisés Arroyo, José Kemper, Guillermo Soto Jeri, Jonell |
| author_sort | Quispe, Moisés |
| collection | Repositorio INIA |
| description | 11 páginas |
| format | info:eu-repo/semantics/bookPart |
| id | INIA1977 |
| institution | Institucional Nacional de Innovación Agraria |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | dspace |
| spelling | INIA19772022-12-21T16:19:44Z An algorithm oriented to the classification of quinoa grains by color from digital images Quispe, Moisés Arroyo, José Kemper, Guillermo Soto Jeri, Jonell Color classification Image processing Quinoa https://purl.org/pe-repo/ocde/ford#4.04.01 Plantas feculentas Tratamiento de imágenes 11 páginas The present work proposes an image processing algorithm oriented to identify the coloration of the quinoa grains that make up the different samples obtained from the production of a crop field. The objective is to perform quality control of production based on the statistics of grain coloration, which is currently done manually based on subjective visual perception. This generates results that totally depend on the abilities and the particular criteria of each observer, generating considerable errors in the identification of the colors and tonalities. The problem is further complicated by the nonexistence, at present, of a pattern or standard of coloration of quinoa grains that specifically defines a referential color map. In this sense, through this work, an algorithm is proposed oriented to classify the grains of the acquired samples by their color via digital images and provide corresponding statistics for the quality control of the production. The algorithm uses the color models RGB, HSV and YCbCr, thresholding, segmentation by binary masks, erosion, connectivity, labeling and sequential classification based on 8 colors established by agronomists. The obtained results showed a performance of the proposed algorithm of 91.25% in relation to the average success rate. 2022-11-21T03:29:55Z 2022-11-21T03:29:55Z 2019-05-31 info:eu-repo/semantics/bookPart Quispe, M.; Arroyo, J.; Kemper, G.; Soto, J. (2020). An algorithm oriented to the classification of quinoa grains by color from digital images. In: Botto-Tobar, M., León-Acurio, J., Díaz Cadena, A., Montiel Díaz, P. (eds) Advances in Emerging Trends and Technologies. ICAETT 2019. Advances in Intelligent Systems and Computing, 1066, 237-247. doi: 10.1007/978-3-030-32022-5_23 978-3-030-32022-5 https://hdl.handle.net/20.500.12955/1977 https://doi.org/10.1007/978-3-030-32022-5_23 eng Advances in Intelligent Systems and Computing https://link.springer.com/chapter/10.1007/978-3-030-32022-5_23 info:eu-repo/semantics/restrictedAccess application/pdf Perú Springer Nature CH Instituto Nacional de Innovación Agraria Repositorio Institucional - INIA |
| spellingShingle | Color classification Image processing Quinoa https://purl.org/pe-repo/ocde/ford#4.04.01 Plantas feculentas Tratamiento de imágenes Quispe, Moisés Arroyo, José Kemper, Guillermo Soto Jeri, Jonell An algorithm oriented to the classification of quinoa grains by color from digital images |
| title | An algorithm oriented to the classification of quinoa grains by color from digital images |
| title_full | An algorithm oriented to the classification of quinoa grains by color from digital images |
| title_fullStr | An algorithm oriented to the classification of quinoa grains by color from digital images |
| title_full_unstemmed | An algorithm oriented to the classification of quinoa grains by color from digital images |
| title_short | An algorithm oriented to the classification of quinoa grains by color from digital images |
| title_sort | algorithm oriented to the classification of quinoa grains by color from digital images |
| topic | Color classification Image processing Quinoa https://purl.org/pe-repo/ocde/ford#4.04.01 Plantas feculentas Tratamiento de imágenes |
| url | https://hdl.handle.net/20.500.12955/1977 https://doi.org/10.1007/978-3-030-32022-5_23 |
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