Year: 2025
Type: article
Abstract: Aiming at the problem of localised fading features of ancient ceramic decorations and the presence of noise in the image, a dynamic range extension Retinex with a multi-stage watershed segmentation method is proposed: this method enables complete segmentation of locally faded features. Adjusting the contrast of an image by building a Gaussian filter, part of the noise is removed. Combined with the multi-stage watershed segmentation method, a disk-shaped structural element was applied to eliminate excess noise while preserving the integrity of larger structures. The experimental results show the enhancement of ancient ceramic images by the Retinex method with dynamic range extension. The Accuracy rate of ancient ceramic decorations reached 0.929, indicating that the adverse impact of local fading on feature extraction accuracy has been successfully addressed.
Source: npj Heritage Science
Authors: Zhijuan Deng, Dunguo Wu, Mengyao Xia, Jiao Li, Xiaoling Zhou, Dahai Liao
Language: English
Topic: Image Enhancement Techniques
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Award: 基于CFD-DEM耦合方法的氮化硅粉体干法制备机理研究
OpenAlex ID: W4415002548