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Fibres & Textiles in Eastern Europe
Volume 30 (2022): Numero 3 (October 2022)
Accesso libero
Intelligent Recognition of Colour and Contour from Ancient Chinese Embroidery Images
Fei Ju
Fei Ju
,
Qiang Wang
Qiang Wang
,
Zhenke Tan
Zhenke Tan
e
Quan Li
Quan Li
| 28 set 2022
Fibres & Textiles in Eastern Europe
Volume 30 (2022): Numero 3 (October 2022)
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Article Category:
Research Article
Pubblicato online:
28 set 2022
Pagine:
79 - 92
DOI:
https://doi.org/10.2478/ftee-2022-0026
Parole chiave
Chinese ancient embroidery
,
colour level adjustment
,
sharpening
,
contour extraction
,
colour extraction
© 2022 Fei Ju, et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 3.0 Public License.
Fig. 1
Colour recognised by graphic software for embroidery images obtained by a camera (Part 1) and scanner (Part 2)
Fig. 2
Flower Patterns Embroidered in Qing Dynasty
Fig. 3
Research framework of method proposed
Fig. 4
Comparison of images and histograms before and after the scale
Fig. 5
Image contrast before and after Gaussian filtering, sharpening and smoothing
Fig. 6
Colour identified by K-means++ clustering algorithm
Fig. 7
Comparison of the size of the corresponding domain values within the 3X3 domain
Fig. 8
Contour extracted by Canny operator
Fig. 9
Four embroidery patterns selected from women's traditional clothing of the Qing Dynasty
Fig. 10
Colour recognition and edge detection of restored samples
Fig. 11
Duplication of embroidery patterns of the Qing Dynasty
Fig. 12
Comparison of image colour recognition before and after adding colour levels and sharpening
Fig. 13
Image contour extraction and comparison before and after adjustment of colour levels
Fig. 14
Comparison of image colour recognition in different colour spaces
Fig. 15
Image contour extraction before and after setting threshold