计算机应用与软件2017，Vol.34Issue(3)：174-180,7.DOI:10.3969/j.issn.1000-386x.2017.03.032
基于交互式条件随机场的RGB-D图像语义分割
RGB-D IMAGE SEMANTIC SEGMENTATION METHOD BASED ON INTERACTIVE CONDITIONAL RANDOM FIELDS
左向梅 1赵振 1苟婷婷1
作者信息
- 1. 中国飞行试验研究院 陕西 西安 710089
- 折叠
摘要
Abstract
RGB-D image semantic segmentation is the primary step of scene recognition and analysis, and the image segmentation method based on conditional random fields (CRF) cannot be applied in complex and volatile scenes, therefore an RGB-D image semantic segmentation method with interactive conditional random fields is proposed.Firstly, preprocess the depth and color images generated from Kinect with median filter and morphology reconstruction method, reducing the image noise and missing data.Secondly, automatically segment the preprocessed images with conditional random fields to obtain the rough segmentation.Finally, user takes the correct labels into the conditional random fields' model to update the model through an interactive platform, which can improve the segmentation results.Compared with the traditional segmentation method based on conditional random fields, the proposed method can achieve better performance in scene understanding and analysis.关键词
条件随机场/语义分割/交互式/RGB-D图像Key words
Conditional random fields/Semantic segmentation/Interactive/RGB-D image分类
信息技术与安全科学引用本文复制引用
左向梅,赵振,苟婷婷..基于交互式条件随机场的RGB-D图像语义分割[J].计算机应用与软件,2017,34(3):174-180,7.
