The Approach of Grouping Straight Line Segments Based on Perceptual Organization
XI Xue-qiang · Jisuanji yingyong yanjiu · 2002
Straight line is a kind of intermediate symbol representation usually used in computer vision. By grouping line segments belonging to the same actual structure of an object, one can reduce the number of symbol, and correct some mistakes utilizing the inherence relations among symbols. The paper studied an approach of grouping based on the rules of perceptual organization, making use of un-accidental features such as proximity, collinearity, junction, parallelism, and symmetry. Multi-feature fusion is adopted when more than one evidence exists. A believe function is used to represent the degree to which each feature support the propositions such as connectivity, symmetry and junction. No fixed threshold is set here. Experiments on both synthetic and real images demonstrate the validity and efficiency of this algorithm.