Evaluation of Innovative Design of Clothing Image Elements Using Image Processing

被引:0
作者
Nie S. [1 ]
机构
[1] Department of Character Design, Chengdu Polytechnic University, Sichuan, Chengdu
来源
Informatica (Slovenia) | 2022年 / 46卷 / 08期
关键词
color; convolutional neural network; image processing; texture;
D O I
10.31449/inf.v45i8.4250
中图分类号
学科分类号
摘要
Excellent design of clothing image elements can enhance the attractiveness of clothing to customers. This paper used image processing technology to extract texture and color features for innovative designs of clothing image elements and used the convolutional neural network (CNN) model to evaluate some designs. The CNN model was compared with the back-propagation neural network (BPNN) model in the example analysis, and three designs were evaluated. The results showed that the image processing-based CNN model had good evaluation performance and obtained evaluation results closer to the manual evaluation results than the BPNN model. The evaluation results of the three designs also showed that all three designs achieved innovative design through effectively combining multiple image elements. © 2022 Slovene Society Informatika. All rights reserved.
引用
收藏
页码:73 / 80
页数:7
相关论文
共 19 条
  • [1] Yoxall A, Gonzalez V, Best J, Rodriguez-Falcon E M, Rowson J, As you like it: Understanding the relationship between packing design and accessibility, Packaging Technology and Science, 32, (2019)
  • [2] Wang F, Research on Design Factors and Packing Design Method of Preschool Children's Food Packing Security, Advance Journal of Food Science and Technology, 9, pp. 434-438, (2015)
  • [3] Alexa A, BOOKS: GRAPHIC DISCOURSE, Metropolis, 34, pp. 168-168, (2015)
  • [4] Ota S, Takenouchi H, Tokumaru M, Kansei Retrieval of Clothing using Features Extracted by Deep Neural Network, Transactions of Japan Society of Kansei Engineering, 16, (2017)
  • [5] Zhang L, Xu Z, Zhang Y, Realization of clothing image contour extraction and collar segmentation, Journal of Physics Conference Series, 1790, (2021)
  • [6] Zhang N, Pan R, Wang L, Wang S, Xiang J, Gao W, Automatic seam pucker evaluation using support vector machine classifiers, International Journal of Clothing Science & Technology, 31, pp. 2-15, (2019)
  • [7] Wang S, 3D Printing clothing design based on wireless sensors and FPGA, Microprocessors and Microsystems, 2020, (2020)
  • [8] Qian L, Xia Y, He X, Qian K, Wang J, Electrical modeling and characterization of silicon-core coaxial through silicon vias in three-dimensional integration, IEEE Transactions on Components, Packaging, and Manufacturing Technology, 8, pp. 1336-1343, (2018)
  • [9] Lu J, Innovative application of recombinant traditional visual elements in graphic design, Informatica, 46, pp. 101-106, (2022)
  • [10] Liao K H, The abilities of understanding spatial relations, spatial orientation, and spatial visualization affect 3D product design performance: using carton box design as an example, International Journal of Technology & Design Education, 27, pp. 1-17, (2015)