Identifying Defective Fruits and Vegetables with Hyper-spectral Images: A Brief Tutorial
Abstract:
Horticulture is the branch of agriculture that addresses the crop of fruits and vegetables. This art of cultivating natural products has been a critical research area that helped to satisfy human's food consumption. The enhancement of quality control has improved the cost-effectiveness and increased the financial profit of the production. This study presents a processing pipeline architecture that assesses the quality of fruits and vegetables through image processing. The solution involves hyper-spectral imaging, image enhancement, image binarization, and median filtering. Our experiments demonstrate that our image processing pipeline proposal successfully identifies the defective regions in a publicly available dataset that contains images of apples and onions.
Año de publicación:
2022
Keywords:
- hyper-spectral imaging
- image binarization
- Computational agriculture
- Image enhancement
- image filtering
Fuente:
Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Aprendizaje automático
- Ciencias de la computación
- Ciencia agraria
Áreas temáticas:
- Métodos informáticos especiales
- Ciencias de la computación
- Física aplicada