Author:
Zhao Haifeng,Wu Haiting,Wang Xin
Funder
Innovative Research Group Project of the National Natural Science Foundation of China
Shenzhen Basic Research Program
Publisher
Springer Science and Business Media LLC
Subject
Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition
Reference35 articles.
1. Yu Q, Clausi DA. Combining local and global features for image segmentation using iterative classification and region merging. In: Canadian Conference on Computer & Robot Vision. 2005.
2. Bechar MEA, Settouti N, Daho MEH, Adel M, Chikh MA. Influence of normalization and color features on super-pixel classification: application to cytological image segmentation. Australas Phys Eng Sci Med. 2019;42(2):427–41.
3. Khanykov IG, Tolstoj IM, Levonevskiy DK. The classification of the image segmentation algorithms. International Journal of Intelligent Unmanned Systems ahead-of-print(ahead-of-print). 2020.
4. Dornaika F, Chakik F. Efficient object detection and matching using feature classification. 2010.
5. Javed S, Shah M, Bouwmans T, Soon KJ. Moving object detection on rgb-d videos using graph regularized spatiotemporal rpca. In: International Conference on Image Analysis & Processing. 2017.