Acta Geodaetica et Cartographica Sinica ›› 2015, Vol. 44 ›› Issue (7): 768-774.doi: 10.11947/j.AGCS.2015.20140234

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Phase Grouping Line Extraction Algorithm Using Overlapped Partition

WANG Jingxue1, ZHU Qing2, ZHANG Yunsheng3, HU Han4   

  1. 1. School of Geomatics, Liaoning Technical University, Fuxin 123000, China;
    2. National-local Joint Engineering Laboratory of Spatial Information Technology for High-speed Railway Running Safety, Southwest Jiaotong University, Chengdu 610031, China;
    3. School of Geomatics and Info-physics, Central South University, Changsha 410083, China;
    4. State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
  • Received:2014-05-05 Revised:2014-09-12 Published:2015-07-28
  • Supported by:

    The National Basic Research Program of China(973 Program)(No. 2010CB731801);The National Natural Science Foundation of China(Nos. 4110145;41201472);The Doctoral Program Foundation of Institutions of Higher Education of China(No. 20112121120003);The Postdoctoral Science Foundation of China(No. 2012M511413);The Foundation of Liaoning Technical University(No. SCDY2013010)

Abstract:

Aiming at solving the problem of fracture at the discontinuities area and the challenges of line fitting in each partition, an innovative line extraction algorithm is proposed based on phase grouping using overlapped partition. The proposed algorithm adopted dual partition steps, which will generate overlapped eight partitions. Between the two steps, the middle axis in the first step coincides with the border lines in the other step. Firstly, the connected edge points that share the same phase gradients are merged into the line candidates, and fitted into line segments. Then to remedy the break lines at the border areas, the break segments in the second partition steps are refitted. The proposed algorithm is robust and does not need any parameter tuning. Experiments with various datasets have confirmed that the method is not only capable of handling the linear features, but also powerful enough in handling the curve features.

Key words: overlapped-partition, phase grouping, Hough transform, line extraction, line fitting

CLC Number: