Application of Gabor Image Recognition Technology in Intelligent Clothing Design

This paper firstly analyzes the specific application of velvet flowers on women’s dresses from the perspective of fashion aesthetics and with the understanding of the background and development trend of dresses. Secondly, based on 3D visual perception, we propose the optimization of the normalization method and loss function optimization, which can improve the migration speed and generation quality of velvet flower design, and then seamlessly fit it to the dress base map by Poisson fusion to realize the intelligent design of velvet flower in dresses driven by 3D visual perception. Then, the color features and attributes of the floral in the dress are studied, and the HSV color space model is used to extract the high-frequency colors and attributes of the dress. Then, the floral design is digitized, and the dress design is driven by 3D visual perception is studied and analyzed. The results show that the loss value of the dress design style migration network trained based on AdaN is the smallest, and the loss value is reduced by 0.19 compared to the dress design style migration network using IN and 0.31 compared to BN. The velvet flower design on the dress design base map can be implemented based on the foundation provided by this study.

Section: Literature Reviewmentioning

confidence: 99%

Application of 3D visual perception-driven design of velvet flowers in traditional dresses

Fan

2023

“…Qiao, S et al for the apparel design modeling in image feature recognition extraction, proposed an integrated parallel extraction method. The efficiency of image feature extraction in the apparel design model is improved by the acceleration effect of multi-core acceleration [14]. Xu, Q et al used the interactive output method to explore the role of non-heritage cultural elements and traditional crafts in modern clothing design, combined with experiments to prove that the fusion of cultural elements and clothing design can bring about a new design level [15].…”

Section: Introductionmentioning

confidence: 99%

Research on Clothing Art Innovation by Integrating Traditional Graphics and Intelligent Design in the Age of Intelligence

You

2024

With the progress of the times, the aesthetics of the public have gradually become diversified, and clothing art design should also keep pace with the times, and carry out the innovation of clothing art design under the integration of traditional graphics. In this paper, the RGB and HSV values of traditional graphics are extracted by the method of color feature extraction, and each pixel is detected by scanning pixel by pixel, and the color characteristics of the graphics are judged according to the pixel points. The roughness and sharpness of the graphic texture are characterized by the gray symbiotic texture features. Combined with the central moments reflecting the distribution of gray levels in the object area relative to the gray level center of gravity metric, the size, shape, and other details of the image are described with the help of higher-order moments of more than three orders. The main direction of clothing art design innovation is analyzed by integrating different features of traditional images into clothing pattern design. The results show that the RGB values in the color design of sweet style clothing should be similar to (255,192,203), (135,206,250), (0,51,0), the entropy value of the graphic texture in the design of clothing art should be >1, and the degree of regularity should be >0.9, so that the regularity and regularity of the graphic is reflected as much as possible. The shape characterization value Φ6 and Φ7 of the image in clothing art design should be 0 to prevent the deformation caused by image scaling and rotation.

“…Literature [12], in order to optimize the empowerment of traditional cultural elements in clothing brands, proposes that clothing brand designers should deeply understand the connotation of conventional culture and then connect traditional cultural elements and brands to promote the harmonious interaction between users and brands and traditional culture. Literature [13] conceived a clothing design framework with a parallel Gabor image feature extraction algorithm as the core logic. It tested it through experiments, verifying that the modified design framework can have a good effect on clothing fabric recognition.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Integration and Value of Chinese Traditional Elements and Modern Clothing Design under Big Data Technology

2024

Under the rich cultural background, clothing design should effectively integrate traditional culture to provide people with better quality clothing products and meet the demands of the development of clothing culture. This paper analyzes the classification and application value of traditional elements and explores the expression strategies and application steps of conventional elements in clothing design. Then, we use the VGG network as the basis and combine the semantic extraction network and style migration network to extract the styling features of traditional elements, introduce the OTSU algorithm to extract the pattern features of traditional cultural elements, and combine the improved K-Means clustering algorithm to extract the main color of conventional elements. The practice of clothing design was conducted using the Republican style as a source of inspiration, and the effectiveness of the mentioned methods and the application of clothing design were evaluated and analyzed. It was found that the color purity extracted by the improved K-Means clustering algorithm was about 2.5 times higher than the result of the octree method, and the testers’ ratings of the pattern and novelty of the clothing design reached 3.81 and 4.29, respectively. The technique allows for the effective integration of traditional elements extracted based on the method into modern clothing design, promoting more diversity in the visual expression of contemporary clothing design.