location:Home > 2019 VOL.2 Aug No.4 > Reasonable design of the appearance of complex industrial products based on visual communication

2019 VOL.2 Aug No.4

  • Title: Reasonable design of the appearance of complex industrial products based on visual communication
  • Name: Tick Vincent
  • Company: Tairawhiti Polytechinc
  • Abstract:

    In order to improve the rationality of the appearance of complex industrial products, high precision design is required. The product appearance rationality test needs to form a correlation threshold for the complex properties such as the bending rate and the tilt angle of the design product, in order to form a reasonable judgment. When the traditional artificial vision method is applied to the detection of the outline of the complex industrial design products, it is difficult to form a complete judgment rule for some complex distortion changes and abnormal angular deviations, which may cause defects such as large detection errors. A method for detecting the contour of the complex industrial design products using the associated visual inspection technology is proposed. According to the wavelet packet analysis method, the contour features of the design image are analyzed and extracted, and then the pixel classification judgment matrix is used to determine the scale change reasonably. Judgment is made to complete the rationality detection of the appearance of complex industrial design products. The experimental data shows that the proposed design method of complex industrial products has improved the rationality of the original method by 34% and the accuracy by 29%, which proves the effectiveness of the new method.

  • Keyword: visual communication; complex industry; appearance contour; rationality
  • DOI: 10.12250/jpciams2019040127
  • Citation form: Tick Vincent.Reasonable design of the appearance of complex industrial products based on visual communication[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 27-31.
Reference:

[1]S Fernie,SD Green,SJ Weller,R Newcombe. Knowledge sharing: context, confusion and  controversy [J].International Journal of Project  Management ,2017,23(14):233-246.

[2] Tang H, Lee Y, Gero J. Comparing collaborative  co -located and distributed design processes in digital and traditional sketching environments: a protocol study using the function-behaviour-structure coding scheme[J]. Design Studies, 2017,12(3):501-520.

[3]Eun Jin Kim and Kwan Myung Kim. Cognitive styles in design problem solving:Insights from network-based cognitive maps[J]. Design Studies,2017,18(9):36-45.

[4]Gero, J S, Jiang Hao. Exploring the design cognition of concept design reviews using  the  FBS-based  protocol analysis[J],Design Thinking Research Symposium,2017,62(6):135-141. 

[5]TJ Howard,Dekoninck. Describing the creative  design process by the integration of engineering design and cognitive psychology literature [J], Design Studies, 2017, 29(1):160-180. 

[6]H. Friguiand, O Nasraoui. Unsupervised Learning of Prototypes and Attribute Weights[J]. Pattern Recognition, ,2017,12(6):401-410.

[7]HA Nguyen, D Choi. Application of Data Mining to Network Intrusion Detection: Classifier Selection Model[J].Lecture Notes in Computer Science,2017,36(12):230-241.

[8]Shao Ping, Yang Luoming. Rapid template matching based on generalized mask integral images [J]. Computer science, 2017,35 (6) : 223-226.

[9]Enpu Li,Zhuang X Y,Zheng WB,et al.Effect of graph gen-eration on slope stability analysis based on graph theory[J].Journal of Rock Mechanics and Geotechnical Engineering,2017,14(7):304-310.

[10]Yue Xiaofeng, Han Liqiang, Yu Junyi. Application of machine vision recognition technology in piston assembly [J]. Journal of agricultural machinery, 2017,36 (2) : 88-92.


 


Tsuruta Institute of Medical Information Technology
Address:[502,5-47-6], Tsuyama, Tsukuba, Saitama, Japan TEL:008148-28809 fax:008148-28808 Japan,Email:jpciams@hotmail.com,2019-09-16