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Towards real-time image segmentation using polynomial functions

Abstract:

We present current development towards a real-time method for segmentation of images for robotics applications. Our algorithm follows a fast scan line procedure (rows and columns), thus breaking the 2D segmentation problem in two 1D processes. In this first phase we use polynomial functions to find possible ID boundaries in the image columns and rows separately. In a second step, a fusion method is applied, removing redundancies and false boundaries to find the regions of interest in the segmented images. We try to improve the algorithm by using a coarse to fine multi-resolution approach. Preliminary results demonstrate possible applicability in real-time.