首页> 外文会议>Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on >Extraction of straight line segments using perceptual organization and fuzzy thresholding method
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Extraction of straight line segments using perceptual organization and fuzzy thresholding method

机译:基于感知组织和模糊阈值法的直线段提取

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Straight-line segments are often used as key features in analyzing scenes. In this paper, we extract straight-line segments using advanced Paton's template masks (1979) for straight-line segments detection in real time. To overcome a problem of a complexity of scenes and simplify straight-line segments, straight-line segments are grouped into longer straight-line segments by collinearity of perceptual organization. After the existence of undetected-line segments by parallelism and symmetry of perceptual organization is supposed, undetected-line segments are extracted by applying a new threshold again. Here, feedback control can be seen. Data are integrated by bottom-up and top-down method. To control thresholds in a structural manner, a fuzzy logic controller is used. By extracting straight-line segments of natural scenes and man-made objects, the effectiveness and the advantage of this method are shown. This proposed approach can be applied to a pattern recognition.
机译:直线段通常用作分析场景中的关键特征。在本文中,我们利用高级Paton的模板面具(1979)提取直线段,实时用于直线段检测。为了克服场景的复杂性的问题并简化直线段,直线段通过感知组织的共同性分组成长直线段。在假设通过并行组织的并行性和对称性的未检测到的线段存在之后,通过再次应用新阈值来提取未检测的线段。这里,可以看到反馈控制。数据通过自下而上和自上而下的方法集成。以结构方式控制阈值,使用模糊逻辑控制器。通过提取自然场景的直线段和人造物体,示出了该方法的有效性和优点。该提出的方法可以应用于模式识别。

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