Neural network based fairing of digitized curves and its application

  • Authors:

  • Jianhua Hou;Zongying Ou;Mingen Guo

  • Affiliations:

  • Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian, Liaoning, China;Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian, Liaoning, China;Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian, Liaoning, China

  • Venue:
  • ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
  • Year:
  • 2005

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Abstract

A fairing method for digitized curves, based on neural network optimization, is presented in this paper. The energy function and constraints of a digitized curve are given first, with which the fairing process is converted into a quadratic optimization problem. A neural network is then used to solve the optimization problem. Fairness adjustment of points' position is realized by this optimization. An application to binary image magnification is illustrated, which shows better result than other methods.