Crop Images Segmentation using Adaptive Morphologic Descriptors

Crop Images Segmentation using Adaptive Morphologic Descriptors

This research is focused on the segmentation improvement of crop images by using adaptive morphologic descriptors instead of classic algorithms like K-means and the top-hat operator using predefined shapes like disk or diamond. Obtained results shows that using an adaptive morphologic descriptor im...

Full description

Bibliographic Details
Main Authors: Miguel Ángel Gil Ríos, Juan Manuel López Hernández, Dolores Juárez Ramírez, Maria del Carmen Ruiz Robledo, Laura Paulina Badillo Canchola, Ariana Aranda López
Format: Article
Language:English
Published: Universidad De La Salle Bajío 2020-05-01
Series:Nova Scientia
Subjects:
image segmentation
morphologic descriptor
crop detection
UMDA
algorithms
K-Means algorithm
Online Access:http://novascientia.delasalle.edu.mx/ojs/index.php/Nova/article/view/2152

Internet

http://novascientia.delasalle.edu.mx/ojs/index.php/Nova/article/view/2152

Similar Items