Grey Relation Analysis and Taguchi Method in Reverse Engineering Points Cloud Processing

• Main Authors: Ke Jiuan-Hung, 柯俊宏
• Other Authors: Wang Chung-Shing
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/83330696982126678580

碩士 === 大葉大學 === 自動化工程學系碩士班 === 91 === In recent years, reverse engineering develops rapidly. Its definition changes from narrow contact, non-contact 3D points data scanning, processing to broad figures scanning and computed tomography (CT) medical image processing. Image processing transforms image data to contour data points. Immense data points will affect the rate of processing time. How to deal with such a lot of points data is the crucial issue for the RE process. The research is dedicated to integrate the geometric model for curves interpolation, Taguchi’s parametric design method for reducing experiment times, grey relation theory for optimum combination. Geometry model builds fitting curve characteristics in less data points. Taguchi method can abridge experiments in cost and time saving. Grey relation analysis search for optimum solution. The following aims have been achieved： (1)Image processing and grey prediction used to transform image data to points data. (2)Grey relation analysis and Taguchi’s method integrated the geometric model to establish an optimum fitting curve module. (3)Two examples are shown to verify the system： (a) 2D calligraphy is used and verified in copying technology. (b) CT files of skeleton used to establish 3D RP model in medical image processing.