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Overview of Image Semantic Segmentation Technology
- Source :
- 2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC).
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- 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.
- Subjects :
- Structure (mathematical logic)
Computer science
business.industry
Deep learning
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
0211 other engineering and technologies
02 engineering and technology
Image segmentation
Machine learning
computer.software_genre
Semantics
Image (mathematics)
0202 electrical engineering, electronic engineering, information engineering
Unsupervised learning
020201 artificial intelligence & image processing
Segmentation
Artificial intelligence
business
Focus (optics)
computer
021101 geological & geomatics engineering
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)
- Accession number :
- edsair.doi...........2845434f885f6942ce117af0c0f369d7