Learning perceptual organization for straight line segments
Anca Ralescu, J.G. Shanahan · 2002
Address the problem of structure inference in an image, in the framework of perceptual organization. This paper describes work in progress which builds on a subset of the authors' previous work on fuzzy perceptual grouping. More precisely, the authors are concerned with obtaining a fuzzy system which can achieve grouping of line segments. The data are obtained from images and consist of the results of edge extraction to which a line segment fitting algorithm has been applied. For each collection of similar and collinear segments used as input, a representative segment is used to summarize this collection. In the training stage both the input collection and the output segment can be either indicated by a human user, or obtained by overlaying the segment and real images.