Paper
8 April 2024 Superpixel-based region features fuzzy C-means clustering for color image segmentation
Jianjun Jiao, Xiaopeng Wang
Author Affiliations +
Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 130903E (2024) https://doi.org/10.1117/12.3025384
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China
Abstract
Traditional FCM (fuzzy C-means) image segmentation considers only the image’s pixel value and ignores other factors, which leads to the under-segmentation problem. This paper proposed a color image segmentation method based on the superpixel region features (SRFFCM), which uses the texture, mean, and color features obtained from the superpixel region to construct a new image segmented by the method. Firstly, we use the superpixels method to segment the image into multiple regions. Secondly, to obtain the texture features of the regions, we designed a calculation method of a gray cooccurrence matrix for the irregular regions. Finally, we treated the region as a standard pixel and used the proposed method for clustering under the construction of the irregular regions’ multidimensional vector. Due to the utilization of multiple features of the region, the segmentation accuracy (SA)and mean Intersection-over-Union (mIoU) of the proposed method is more than 90% through the test of images segmentation, and the time complexity is lower than that of most other algorithms.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jianjun Jiao and Xiaopeng Wang "Superpixel-based region features fuzzy C-means clustering for color image segmentation", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 130903E (8 April 2024); https://doi.org/10.1117/12.3025384
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Image processing algorithms and systems

Cooccurrence matrices

RGB color model

Tunable filters

Windows

Image filtering

RELATED CONTENT


Back to Top