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首页> 外文会议>Conference on Image Extraction, Segmentation, and Recognition Oct 22-24, 2001, Wuhan, China >A Model of Extraction and Representation of Spatial Knowledge using Hough Transform
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A Model of Extraction and Representation of Spatial Knowledge using Hough Transform

机译：基于霍夫变换的空间知识提取与表示模型

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摘要

This paper presents a model of extraction and representation of spatial knowledge using Hough Transform. The purpose here is to extract line segments and specific relations to represent knowledge. Using Hough Transform, from polar representation of a line segment we extract line segment, which approximate an object. We consider the rotation of segment from 0 degree to 180 degrees position and approximate the possible segments positions to n which constitute the alphabet of our model. We then define relations between extracted segments with respect to their ends and inner. Prom these relations and alphabet, we represent an object as a couple (S, R) where S is the vector of segments and R is the vector of relations between the components of S. The similarity of two objects depends on the distance between their representation. There are promising results for character recognition.
机译：本文提出了一种使用霍夫变换提取和表示空间知识的模型。此处的目的是提取线段和特定关系以表示知识。使用Hough变换，从线段的极坐标表示中提取线段，该线段近似对象。我们考虑线段从0度旋转到180度的位置，并将可能的线段位置近似到n，这构成了模型的字母。然后，我们针对提取的段的末端和内部定义关系。证明这些关系和字母，我们将对象表示为一对（S，R），其中S是线段的向量，R是S组件之间的关系的向量。两个对象的相似性取决于它们表示之间的距离。字符识别有可喜的结果。

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