Affiliation:
1. West Anhui University, Lu’an 237012, China
Abstract
Image recognition of ethnic minority costumes is helpful for people to understand, carry forward, and inherit national culture. Taking the minority clothing image as the research object, the image enhancement and threshold segmentation are completed; the principal component features of the minority clothing image are extracted by PCA method; and the image matching degree is obtained according to the principle of minimizing the Euclidean distance. Finally, the calculation process of the PCA method is optimized by a wavelet transform algorithm to realize the recognition of popular elements of minority traditional clothing. The comparative experimental results show that the PCA + BP neural network algorithm is better than the other two recognition algorithms in recognition rate and recognition time.
Funder
Anhui Department of Education
Subject
Computer Science Applications,Software
Reference17 articles.
1. Virtual Reality-Based Visual Interaction: A Framework for Classification of Ethnic Clothing Totem Patterns
2. Design and implementation of color recognition algorithm for flower waist Dai clothing;D. M. Li;Information & Communications,2017
3. Learning of prototype set and orthogonal projection for image set classification;Z. W. Ren;Application Research of Computers,2020
4. Remote sensing image template matching intelligent recognition simulation based on STACS;J. Li;Computer Simulation,2021
5. Learning and recognition of clothing genres from full-body images;S. C. Hidayati;IEEE transactions on cybernetics,2017
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献