计算机科学
图像分割
人工智能
分割
基于分割的对象分类
尺度空间分割
语义计算
光学(聚焦)
计算机视觉
模式识别(心理学)
语义网
光学
物理
作者
Li Wang,Xingxing Chen,Liangyuan Hu,Hui Li
标识
DOI:10.1109/itaic49862.2020.9338770
摘要
With the continuous development of artificial intelligence technology, image semantic segmentation has increasingly become the focus of computer vision and artificial intelligence algorithms. Image semantic segmentation technology has been applied in remote sensing satellite images, agricultural products production, medical diagnosis and treatment and other fields, and these fields need very accurate and effective semantic segmentation technology. This paper summarizes the common semantic segmentation techniques, introduces the main algorithms of image semantic segmentation techniques, mainly explains the image semantic segmentation techniques based on traditional machine learning and image semantic segmentation techniques based on deep learning, expounds the structure of each method, summarizes the performance and effect of each method, and finally expounds our views on the future development direction and challenges of semantic segmentation.
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