Paper
9 August 2023 Non-interactive GrabCut image segmentation method
Hanning Wang, Jiang Wang, Chuangzhan Zeng, Chen Wang
Author Affiliations +
Proceedings Volume 12782, Third International Conference on Image Processing and Intelligent Control (IPIC 2023); 127821C (2023) https://doi.org/10.1117/12.3000781
Event: Third International Conference on Image Processing and Intelligent Control (IPIC 2023), 2023, Kuala Lumpur, Malaysia
Abstract
The GrabCut image segmentation algorithm based on the principle of graph theory has been extensively used in the field of computer vision. However, the shortcoming is that it requires human-computer interaction to complete the ROI region selection to solve the segmentation task of the foreground image. Therefore, it cannot meet the requirements of fully intelligent image processing. In order to eliminate human-computer interaction and realize smart region selection, this paper proposes a ROI smart region generating and fine-tuning method to improve the GrabCut method, so as to realize intelligent image segmentation. The experimental results show that our method is compatible with both single-target and multi-target foreground image segmentation solutions.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Hanning Wang, Jiang Wang, Chuangzhan Zeng, and Chen Wang "Non-interactive GrabCut image segmentation method", Proc. SPIE 12782, Third International Conference on Image Processing and Intelligent Control (IPIC 2023), 127821C (9 August 2023); https://doi.org/10.1117/12.3000781
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KEYWORDS
Image segmentation

Image processing algorithms and systems

Image compression

Image processing

Human computer interaction

Detection and tracking algorithms

Evolutionary algorithms

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