<p>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.</p>

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Localized fading feature extraction method of ancient ceramic decoration

  • Zhijuan Deng,
  • Dunguo Wu,
  • Mengyao Xia,
  • Jiao Li,
  • Xiaoling Zhou,
  • Dahai Liao

摘要

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.