TY - JOUR N2 - This paper presents a piecewise line generalization algorithm (PG) based on shape characteristic analysis. An adaptive threshold algorithm is used to detect all corners, from which key points are selected. The line is divided into some segments by the key points and generalized piecewise with the Li-Openshaw algorithm. To analyze the performance, line features with different complexity are used. The experimental results compared with the DP algorithm and the Li-Openshaw algorithm show that the PG has better performance in keeping the shape characteristic with higher position accuracy. L1 - http://journals.pan.pl/Content/89826/PDF/Journal10178-VolumeXVIII%20Issue4_07paper.pdf L2 - http://journals.pan.pl/Content/89826 PY - 2011 IS - No 4 EP - 606 DO - 10.2478/v10178-011-0057-5 KW - Line generalization KW - key point detection KW - shape characteristic analysis A1 - Nie, Hongshan A1 - Huang, Zhijian PB - Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation DA - 2011 T1 - A New Method of Line Feature Generalization Based on Shape Characteristic Analysis SP - 597 UR - http://journals.pan.pl/dlibra/publication/edition/89826 T2 - Metrology and Measurement Systems ER -