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Scientia Silvae Sinicae ›› 2004, Vol. 40 ›› Issue (4): 117-123.doi: 10.11707/j.1001-7488.20040420

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An Image Mosaicing System Based on Feature Points Matching

Zhu Zhengming,Jiang Ming,Ma Xiaoming   

  1. Department of Information Science, School of Mathematical Science, Peking University Beijing100871;Center of Environmental Science, Peking University Beijing100871
  • Received:2002-10-10 Revised:1900-01-01 Online:2004-07-25 Published:2004-07-25

Abstract:

Forest insect diseases monitoring based on image mosaicing technique for aerial images were studied. Based on a general image mosaicing model and feature point correspondence technique, an image mosaicing system with planar-scene models was designed and implemented. The experiment with practical data demonstrateed the performance of the system.As for the relevant problems such as extracting feature points, selecting control points and searching correspondence points during the image mosaicing process, an iterative algorithm for estimating the model parameters was proposed. It was found that this iterative method significantly improves the accuracy of the underlying model parameters.

Key words: Planar-scene model, Image-correspondence model, Control point, Feature point, Epipolar constraint