Paper
2 December 2022 Image segmentation based on improved density peak clustering
Siting Liu, Xiaoxia Han, Xiaoning Zhao, Xiaowei Qin, Xinying Xu
Author Affiliations +
Proceedings Volume 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022); 122880G (2022) https://doi.org/10.1117/12.2640995
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 2022, Zhuhai, China
Abstract
Density peaks clustering(DPC) has been applied in the field of image segmentation. However, DPC only considers the global spatial information, but not the local spatial information. When a point is incorrectly allocated, the rest points will have a chain reaction, resulting in being divided into the wrong cluster. Therefore, we propose an image segmentation method based on superpixel and improved DPC. This method can fully consider local spatial information and is more robust. Firstly, an improved DPC is proposed to improve the clustering accuracy, and a new image segmentation algorithm is proposed by combining the improved DPC with superpixel. We compare this algorithm with other three algorithms in BSDS500 dataset. Four indicators of these algorithms show that the algorithm is superior to the other three algorithms.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Siting Liu, Xiaoxia Han, Xiaoning Zhao, Xiaowei Qin, and Xinying Xu "Image segmentation based on improved density peak clustering", Proc. SPIE 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 122880G (2 December 2022); https://doi.org/10.1117/12.2640995
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KEYWORDS
Image segmentation

Image processing algorithms and systems

Reconstruction algorithms

Image filtering

Color image segmentation

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