Rotated Wedge Averaging Method for Junction Classification

Weichuan Yu, Konstantinos Daniilidis, Gerald Sommer

Abstract: The computational cost of conventional filter methods for junction characterization is very high. This burden can be attenuated by using steerable filters. However, in order to achieve a high orientational selectivity to characterize complex junctions a large number of basis filters is necessary. From this results a yet too high computational effort for steerable filters. In this paper we present a new method for characterizing junctions which keeps the high orientational resolution and is computationally efficient. It is based on applying rotated copies of a wedge averaging filter and estimating the derivative with respect to the polar angle. The new method is compared with the steerable wedge filter method in experiments with real images. We show the superiority of our method as well as its adaptability to scale changes and robustness against noise.