Cargando…
Nondestructive classification of saffron using color and textural analysis
Saffron classification based on machine vision techniques as well as the expert's opinion is an objective and nondestructive method that can increase the accuracy of this process in real applications. The experts in Iran classify saffron into three classes Pushal, Negin, and Sargol based on app...
Autores principales: | Mohamadzadeh Moghadam, Morteza, Taghizadeh, Masoud, Sadrnia, Hassan, Pourreza, Hamid Reza |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7174224/ https://www.ncbi.nlm.nih.gov/pubmed/32328258 http://dx.doi.org/10.1002/fsn3.1478 |
Ejemplares similares
-
Nondestructive Classification Analysis of Green Coffee Beans by Using Near-Infrared Spectroscopy
por: Okubo, Naoya, et al.
Publicado: (2019) -
Combination of LBP Bin and Histogram Selections for Color Texture Classification
por: Porebski, Alice, et al.
Publicado: (2020) -
Nondestructive classification of soft rot disease in napa cabbage using hyperspectral imaging analysis
por: Song, Hyeyeon, et al.
Publicado: (2022) -
Deep Learning and Entropy-Based Texture Features for Color Image Classification
por: Lhermitte, Emma, et al.
Publicado: (2022) -
Dietary saffron reduced the blood pressure and prevented remodeling of the aorta in L-NAME-induced hypertensive rats
por: Nasiri, Zohreh, et al.
Publicado: (2015)