Color determination in tomato epicarp using Computer Vision System during ripening
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| Авторы: | , , , |
|---|---|
| Формат: | artículo original |
| Статус: | Versión publicada |
| Дата публикации: | 2025 |
| Описание: | The evolution of color in tomatoes samples, during ripening under refrigeration or at room temperature, was studied by Computer Vision System (CVS). CVS consisted in a lighted stage, a CCD digital camera and a computer (Laptop), all calibrated. The digital processing of images was performed with the Adobe® Photoshop® CS3 Extended software, with which averaged images on L*, a* and b* coordinates were obtained. The proceeding tested, using CVS, allowed to study the variations of color during the ripening of tomatoes from images, by means of rectangular coordinates (L*, a*, b*). The ratio a*/b* and polar coordinates (c*, ho), showing statistically significant differences between samples determined (p<0,05). |
| Страна: | Portal de Revistas UCR |
| Институт: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| Язык: | Español |
| OAI Identifier: | oai:portal.ucr.ac.cr:article/9969 |
| Online-ссылка: | https://revistas.ucr.ac.cr/index.php/agrocost/article/view/9969 |
| Ключевое слово: | espacios de color lycopersicum esculentum mill. medición del color en tomates photoshop® técnicas de procesamiento de imágenes color spaces image processing techniques measurement of color in tomatoes |