<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Targeted at the harmful effects of garment image retrieval at present, a new approach of garment image retrieval featured in satisfactory performance is proposed. In this study, the Grab Cut auto segmentation algorithm is applied first to segment garment images and extract the image’s foreground. And then, the color coherence vector (CCV) and the dominant color method are adopted to extract the color features to conduct garment image retrieval. The experimental data show that the Grab Cut auto segmentation algorithm is capable of extracting the foreground of garment images with either simple or complex background. Meanwhile, the data also indicate that compared with the garment image retrieval by extracting color features using CCV, extracting color features by dominating color method shows both higher accuracy and recall rates.</p>
</abstract>

Targeted at the harmful effects of garment image retrieval at present, a new approach of garment image retrieval featured in satisfactory performance is proposed. In this study, the Grab Cut auto segmentation algorithm is applied first to segment garment images and extract the image’s foreground. And then, the color coherence vector (CCV) and the dominant color method are adopted to extract the color features to conduct garment image retrieval. The experimental data show that the Grab Cut auto segmentation algorithm is capable of extracting the foreground of garment images with either simple or complex background. Meanwhile, the data also indicate that compared with the garment image retrieval by extracting color features using CCV, extracting color features by dominating color method shows both higher accuracy and recall rates.

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

Fujian Province University, Minjiang University

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Targeted at the harmful effects of garment image retrieval at present, a new approach of garment image retrieval featured in satisfactory performance is...

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

Pubblicato online: 15 lug 2022

Pagine: 573 - 584

Ricevuto: 08 feb 2022

Accettato: 07 apr 2022

DOI: https://doi.org/10.2478/amns.2022.2.0042

Parole chiave
Garment Image Retrieval, Grad Cut Auto Segmentation, Color Coherence Vector, Dominate Color Method

© 2023 Hong Liu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Figure 8

Figure 9

Figure 10

Figure 11

Figure 12

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

Pubblicato online: 15 lug 2022

Pagine: 573 - 584

Ricevuto: 08 feb 2022

Accettato: 07 apr 2022

DOI: https://doi.org/10.2478/amns.2022.2.0042

Parole chiaveGarment Image Retrieval, Grad Cut Auto Segmentation, Color Coherence Vector, Dominate Color Method

© 2023 Hong Liu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Figure 8

Figure 9

Figure 10

Figure 11

Figure 12

Parole chiave
Garment Image Retrieval, Grad Cut Auto Segmentation, Color Coherence Vector, Dominate Color Method