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).
Input and Output
- a single greyvalue image (image with one channel)
- control parameters (optional)
- 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:
[windowcenters, junctions, circular_points] = ip_fop(im);
More details and an example can be found in the zip file.
The following zip-file contains the software:
foerstnerOperator_v1_0.zip (Version 1.0 from 2011-03-21)
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.
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.