solving discontinuity and distortion problems in boundary based image segmentation and representation
The boundary based image segmentation and representation system developed by Nobors and Ranganath has been found suitable for a wide range of image interpretation applications [10]. The segmentation system receives a thinned edge image as input and outputs a polyline for each open curve, and a polygon for each closed curve in the image. A novel representation scheme which uses both graph and tree data structures provides flexibility and permits hierarchical interpretation of the image. However, the approach does not address the effects of boundary discontinuity and distortion on the system's performance. This paper discusses these ill-effects and presents computationally efficient methods to bridge discontinuities and smooth distortions by directly post-processing the graph/tree hierarchical data structure that contains the boundary information produced by the segmentation system.
discontinuity distortion image segmentation image representation