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The Method of Error Controlling on the Vectorization of Dot Matrix Image

机译:点矩阵图像的矢量化误差误差方法

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A new vectorization method of dot matrix image based on error controlling is studied in this paper. The least-square algorithm is a main method of vectorization of dot matrix image. In the calculation of the fitting error by using the least-square algorithm, if the fitting error is in the range of threshold value, the result of vectorization will be considered to be right. So how to determine the threshold value is the key. In this paper, it has analyzed the vectorization errors of ideal bitmap by least-square algorithm and put forward the judgment formulas to evaluate recognition result. In order to complete vectorization automatically, it has presented a new method of the vectorization of dot matrix image-----the least-square rolling recognition algorithm for double direction. It has solved the problem of selecting suitable dot group. The judgment formulas in this paper are scientific and accurate; the method of the vectorization is rapid and high efficient.
机译:本文研究了基于误差控制的点矩阵图像的新矢量化方法。最小二乘算法是点阵图像的矢量化的主要方法。在通过使用最小二乘算法的拟合误差的计算中,如果拟合误差处于阈值范围,则将认为矢量化结果是对的。所以如何确定阈值是关键。在本文中,它通过最小二乘算法分析了理想位图的矢量化误差,提出了判断公式来评估识别结果。为了自动完成矢量化,它已经介绍了一个新的点阵图像-----滚动识别算法的光矢量化的新方法,用于双方向。它解决了选择合适的点组的问题。本文的判决公式是科学和准确的;矢量化方法快速高效。

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