Boundary detection from spectral information

Abstract

In this paper, we propose a method to detect object boundaries from spectral information. Previous image boundary detection techniques draw their attention on spatial image features such as brightness, color and texture. Different from traditional feature descriptor methods, we started from the analysis of natural image statistics in spectral domain and proposed a method to detect image boundaries by analyzing log spectrum residual of images. We find that the spatial transform of log spectrum residual of images are qualified as boundary maps. In the experiment section we show that our results are similar to human segmentations compared to common methods like the Canny detector. © 2009 Springer Berlin Heidelberg.