SY-Net: A Rice Seed Instance Segmentation Method Based on a Six-Layer Feature Fusion Network and a Parallel Prediction Head Structure

During the rice quality testing process, the precise segmentation and extraction of grain pixels is a key technique for accurately determining the quality of each seed. Due to the similar physical characteristics, small particles and dense distributions of rice seeds, properly analysing rice is a di...

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Detalles Bibliográficos
Autores principales: Ye, Sheng, Liu, Weihua, Zeng, Shan, Wu, Guiju, Chen, Liangyan, Lai, Huaqing, Yan, Zi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346631/
https://www.ncbi.nlm.nih.gov/pubmed/37448042
http://dx.doi.org/10.3390/s23136194

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346631/
https://www.ncbi.nlm.nih.gov/pubmed/37448042
http://dx.doi.org/10.3390/s23136194

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