A Stitch Partition Algorithm Based on BP Neural Network

Dongqing Wu, Fengjian Yang, Xiaojian Hu, Chaolong Zhang, Jianfu Yang
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Abstract

Stitch partition is a prominent problem of embroidery information restoring. This paper concerns several relative algorithms and presents their applicability and limitation. Combined the characteristics of stitch with BP neural network, a stitch partition algorithm is provided. An experiment is given in the end. The algorithm has been applied to an embroidery CAD system which has gotten reputation among end users.
基于BP神经网络的缝线分割算法
针迹分割是刺绣信息还原中的一个突出问题。本文介绍了几种相关算法,并介绍了它们的适用性和局限性。将缝线的特点与BP神经网络相结合,提出了一种缝线划分算法。最后给出了一个实验。该算法已应用于一个刺绣CAD系统中,得到了用户的好评。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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