多边形表示的相似度量
SIMILARITY MEASURES FOR POLYGONS REPRESENTATION
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摘要: 本文提出了多边形的三角形划分、三角形弱划分、保角划分的概念和基于这些划分的多边形相似度量的新方法,该方法具有旋转、变换、放大、缩小不变性。给出了利用此方法实现图象数据相似检索的方法和实例。Abstract: In this paper, the new concepts of triangle partition, triangle weak partition and angle-preserving partition for polygons are presented. A' new similarity measure method for polygons which is invariant to rotation and transformation and size changing is given based on these partitions. Furthermore, a method of similarity retrieval for pictorial database is discussed.
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