1·This paper proposes a bitmap vectorization technique based on a thinning algorithm, which makes the layout automation and wire-cutting machine applicable to the shoes manufacturing.
介绍了基于细化算法的位图矢量化技术，使得自动排料与线切割系统能够运用于制鞋工业。
2·Based on this vectorization algorithm this paper presents a symbol extraction approach which can extract all kinds of isolated and adhered together symbols effectively.
在该矢量化算法的基础上，又提出一种符号提取算法，这种算法可以有效地提取各种孤立和粘连符号。
3·In the detection of lines in engineering drawing vectorization, the method of best coinciding was adopted to attain the according standard line equation.
对工程图纸矢量化中线条的检测，采用最佳拟合的方法，得到了线条对应的标准直线方程。
4·In this paper we present an automatic vectorization algorithm based on image marking.
本文我们提出了一种基于标记的自动矢量化方法。
5·Based on thinning lines, a parallel vectorization method of engineering drawings is proposed.
研究了一种在细化线的基础上的工程图纸并行矢量化方法。
1·SIMD optimization is very similar to traditional automatic vectorization for vector processors.
这种优化和传统的针对向量处理器的自动向量化非常类似。
2·According to the features, we finish the vectorization of texts, and then use support vector machine classifier to distinguish texts and filter illegal texts.
根据特征进行文本向量化，再以支持向量机分类器区分文本类型，实现非法文本的过滤。