Detecting local features in complex images: A combination of Hough transform and moment-based approximations
Andrzej Stefan Sluzek · 2008
The paper presents fundamentals and preliminary results of a technique for defining, building and positioning novel local feature. The features are created by approximating the content of a scanning circular window by a collection of predefined patterns. Although basics of the technique have been discussed in previous papers, the major modification is the introduction of Hough transform as a part of the algorithm. By applying a modified Hough transform to the contents of scanning windows, approximations can be build more reliably (the algorithm is not sensitive to so-called ldquovisual intrusionsrdquo) more accurately (localization of features is more precise) and at lower computational costs (a part of complex mathematics in previously used moment-based approximations can be avoided).