Research Progress of Digital Image Processing Technology Based on Peacock Image in the Field of Textile and Clothing

Abstract

With the continuous development of society, the technology to get along with each other has been widely used in many fields, including: medical care, geographic information management, office automation, etc. As far as the current situation is concerned, the automation of textile technology has been further developed. Computer image processing technology has been widely used in the textile industry inspection work. It has many advantages, so it is necessary to further strengthen this research. Based on the research on the digital image processing technology of peacock image in the field of textiles and clothing, this paper has developed a detailed research plan based on the research of clothing style recognition and the difficulties and points of clothing style recognition based on the problems in the current research. It mainly includes the establishment of clothing image sample library, image preprocessing, contour feature extraction, classification and result analysis. The experimental data show that because clothing materials mostly exist in the form of images, using existing digital image processing technology and pattern recognition technology to process clothing image can realize the recognition of clothing styles. The experimental results show that using Fourier descriptors to extract the shape features of clothing contours and perform SVM classification and recognition can achieve more than 95% accuracy, and the contour curvature feature points can reach 100% accuracy. Therefore, in the field of clothing, its application range should be expanded, and the detection technology based on image processing runs through the entire process of clothing production.