Image Quality Assessment for Image Segmentation Algorithms: Qualitative and Quantitative Analyses
Image segmentation is part of the image processing and it is important as it has been used in various fields such as medical imaging, autonomous driving and object detection. The selection of technique that is suitable for application is crucial in order to get a good result. The problem occurs when...
Published in: | Proceedings - 9th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2019 |
---|---|
Main Author: | 2-s2.0-85084317231 |
Format: | Conference paper |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2019
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084317231&doi=10.1109%2fICCSCE47578.2019.9068561&partnerID=40&md5=17a1121e888d28ef0cf29e86caa791d0 |
Similar Items
-
Image Quality Assessment for Image Filtering Algorithm: Qualitative and Quantitative Analyses
by: 2-s2.0-85084289622
Published: (2019) -
The application of UAV images in flood detection using image segmentation techniques
by: 2-s2.0-85112070255
Published: (2021) -
New image enhancement technique for WMH segmentation of MRI FLAIR image
by: 2-s2.0-84992147467
Published: (2016) -
Road Image Segmentation using Unmanned Aerial Vehicle Images and DeepLab V3+ Semantic Segmentation Model
by: 2-s2.0-85116203675
Published: (2021) -
Image Segmentation for Pavement Crack Detection System
by: 2-s2.0-85093851482
Published: (2020)