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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >Optimal polygonal approximation of digitized curves using the sum of square deviations criterion
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Optimal polygonal approximation of digitized curves using the sum of square deviations criterion

机译:使用平方和和准则的数字化曲线的最佳多边形逼近

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摘要

We address the problem of finding an optimal polygonal approximation of digitized curves. Several optimal algorithms have already been proposed to determine the minimum number of points that define a polygonal approximation of the curve, with respect to a criterion error. We present a new algorithm with reasonable complexity to determine the optimal polygonal approximation using the mean square error norm. The idea is to estimate the remaining number of segments and to integrate the cost in the A* algorithm. The solution is optimal in the minimum number of segments. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved. [References: 26]
机译:我们解决了找到数字化曲线的最佳多边形逼近的问题。已经提出了几种最优算法来确定相对于标准误差的,定义曲线的多边形近似的最小点数。我们提出一种具有合理复杂度的新算法,以使用均方误差范数确定最佳多边形逼近。这个想法是估计剩余的段数,并将成本整合到A *算法中。该解决方案在最小数量的段中是最佳的。 (C)2001模式识别学会。由Elsevier Science Ltd.出版。保留所有权利。 [参考:26]

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