Sistema de clasificación por visión artificial de mangos tipo Tommy
This paper presents an artificial vision application using the image processing toolbox of Matlab®. The purpose is to classify the type variety Tommy mango according to their characteristics and size. To achieve web using a camera that captures the image in a particular workspace for three mangos ma...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2014 |
| País: | Colombia |
| Institución: | Universidad Industrial de Santander |
| Repositorio: | Repositorio UIS |
| Idioma: | español |
| OAI Identifier: | oai:noesis.uis.edu.co:20.500.14071/8300 |
| Acceso en línea: | https://revistas.uis.edu.co/index.php/revistauisingenierias/article/view/21-31 https://noesis.uis.edu.co/handle/20.500.14071/8300 |
| Access Level: | acceso abierto |
| Palabra clave: | Artificial vision image processing computer vision structured programming decision network RGB color model modelo de color RGB procesamiento de imágenes programación estructurada red de decisión visión artificial visión por computador |
| Sumario: | This paper presents an artificial vision application using the image processing toolbox of Matlab®. The purpose is to classify the type variety Tommy mango according to their characteristics and size. To achieve web using a camera that captures the image in a particular workspace for three mangos maximum. It also describes the programming structure of the M-file code, the segmentation and recognition methods for image processing and graphics and obtaining results that describe the process of classification through the network of choice. |
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