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Garment Image Retrieval based on Grab Cut Auto Segmentation and Dominate Color Method

Hong Liu

Hong Liu

School of Fashion, Henan University of EngineeringZhengzhou, China
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Liu, Hong
, 
Yan Wang

Yan Wang

  • Collaborative Innovation Center of Modern Clothing Technology, Minjiang UniversityFuzhou, China
  • Engineering Research Center of Textile and Clothing, Fujian Province University, Minjiang UniversityFuzhou, China
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Wang, Yan
, 
Dongsheng Chen

Dongsheng Chen

  • Collaborative Innovation Center of Modern Clothing Technology, Minjiang UniversityFuzhou, China
  • Engineering Research Center of Textile and Clothing, Fujian Province University, Minjiang UniversityFuzhou, China
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Chen, Dongsheng
, 
Jia Lv

Jia Lv

  • Collaborative Innovation Center of Modern Clothing Technology, Minjiang UniversityFuzhou, China
  • Engineering Research Center of Textile and Clothing, Fujian Province University, Minjiang UniversityFuzhou, China
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Lv, Jia
 oraz 
Riyad Alshalabi

Riyad Alshalabi

College of Administrative Sciences, Applied Science UniversityBahrain
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Alshalabi, Riyad
  
15 lip 2022
Garment Image Retrieval based on Grab Cut Auto Segmentation and Dominate Color Method's Cover Image
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Data publikacji: 15 lip 2022
Zakres stron: 573 - 584
Otrzymano: 08 lut 2022
Przyjęty: 07 kwi 2022
DOI: https://doi.org/10.2478/amns.2022.2.0042
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© 2023 Hong Liu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1

Grab Cut auto segmentation of garment image with a simple background
Grab Cut auto segmentation of garment image with a simple background

Figure 2

Grab Cut auto segmentation of garment image with complex background
Grab Cut auto segmentation of garment image with complex background

Figure 3

Retrieval results obtained by extracting color features with color coherence vector
Retrieval results obtained by extracting color features with color coherence vector

Figure 4

Retrieval results obtained by extracting color features with the dominant color method
Retrieval results obtained by extracting color features with the dominant color method

Figure 5

Retrieval result comparison of the first image
Retrieval result comparison of the first image

Figure 6

Retrieval result comparison of the second image
Retrieval result comparison of the second image

Figure 7

Retrieval result comparison of the third image
Retrieval result comparison of the third image

Figure 8

Retrieval result comparison of the fourth image
Retrieval result comparison of the fourth image

Figure 9

Retrieval result comparison of the fifth image
Retrieval result comparison of the fifth image

Figure 10

Retrieval result comparison of the sixth image
Retrieval result comparison of the sixth image

Figure 11

Comparison of precision ratios between color coherence vector and dominant color method
Comparison of precision ratios between color coherence vector and dominant color method

Figure 12

Comparison of recall ratios between color coherence vector and dominant color method
Comparison of recall ratios between color coherence vector and dominant color method
Język:
Angielski
Częstotliwość wydawania:
1 razy w roku
Dziedziny czasopisma:
Nauki biologiczne, Nauki biologiczne, inne, Matematyka, Matematyka stosowana, Matematyka ogólna, Fizyka, Fizyka, inne
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