几何形状描述技术在关键截面自动识别中的应用

G. Cortelazzo, Giovanni Deretta, G. Mian, P. Zamperoni
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引用次数: 2

摘要

自动键段识别是通过两个步骤来实现的。第一步是基于弧/直段分类的筛选,每个关键部分都有一个形态模式。第二步通过具有相同形态描述的键段之间的非线性弹性匹配来测量弦的距离。弧/直段分类是一个典型的几何形式描述问题,本文采用基于欧几里德几何概念和基于离散几何的两种方法对其进行了研究。第二种方法取得的效果似乎更好。该方法在具有实际意义的键段数据库上的识别性能令人满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the application of geometrical form description techniques to automatic key-sections recognition
Automatic key-section recognition is approached by a two-step procedure. The first step is a screening based on arc/straight-segment classification, which associates to each key section a morphological pattern. The second step measures the string distances by means of nonlinear elastic matching among the key-sections possessing the same morphological description. Arc/straight-segment classification, a typical geometrical form description problem, is studied by two techniques, one based on Euclidean geometry notions and the other based on discrete geometry. The results achieved by the second technique appear superior. The performance of the recognition procedure on key-section databases of practical significance are very satisfactory.<>
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