RGB image semantic segmentation method and device based on edge metric relation

The invention discloses an RGB image semantic segmentation method and device based on an edge metric relationship. The method comprises the following steps: constructing a network main body of a semantic segmentation network; extracting separable intermediate layer features from the network main bod...

Full description

Saved in:
Bibliographic Details
Main Authors ZHANG JIAN, CHEN YEHENG, LI YUEHUA, ZHU SHIQIANG
Format Patent
LanguageChinese
English
Published 16.09.2022
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:The invention discloses an RGB image semantic segmentation method and device based on an edge metric relationship. The method comprises the following steps: constructing a network main body of a semantic segmentation network; extracting separable intermediate layer features from the network main body, and constructing an edge measurement relation module; combining the network main body with the edge measurement relation module, and constructing a semantic segmentation network based on the edge measurement relation; training the semantic segmentation network based on the edge metric relationship; and inputting a to-be-detected RGB image to the trained semantic segmentation network to obtain each semantic category classification score of the to-be-detected RGB image and a semantic segmentation image generated according to the category corresponding to the highest score. 本发明公开了一种基于边缘度量关系的RGB图像语义分割方法及装置,该方法包括:构建语义分割网络的网络主体;从所述网络主体中提取可分离的中间层特征,构建边缘度量关系模块;组合所述网络主体与所述边缘度量关系模块,构建基于边缘度量关系的语义分割网络;对所述基于边缘度量关系的语义分割网络进行训练
Bibliography:Application Number: CN202210883738