General description

This package implements the Förstner interest point detector in Matlab. The algorithm extracts junction and circular points from a greyvalue image with subpixel accuracy. It also includes some extensions proposed by Köthe (2003).

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Input and Output

Input:

  • a single greyvalue image (image with one channel)
  • control parameters (optional)

Output:

  • image coordinates of extracted points with subpixel accuracy. The points are classified into junction and circular points.
  • integer image coordinates of window centers. These windows are used for the estimation of the points mentioned above.

So a simple example call would be:

   im=imread('test.tif');
   [windowcenters, junctions, circular_points] = ip_fop(im);

 
More details and an example can be found in the zip file.

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Downloads

The following zip-file contains the software:

 
  foerstnerOperator_v1_0.zip (Version 1.0 from 2011-03-21)

 

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References

Förstner, Wolfgang / Gülch, Eberhard:
A Fast Operator for Detection and Precise Location of Distict Point, Corners and Centres of Circular Features.
In: Proceedings of the ISPRS Conference on Fast Processing of Photogrammetric Data. Interlaken 1987, S. 281-305.

Ullrich Köthe:
Edge and Junction Detection with an Improved Structure Tensor.
In: Lecture Notes in Computer Science (Proceedings of DAGM 2003) Volume 2781, 2003, DOI:10.1007/b12010, p. 25-32, Springer, Heidelberg.

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