We propose a novel scene image segmentation algorithm based on Perceptual Organization. We develop a Perceptual Organization model by quantitatively incorporating a list of Gestalt laws. The Perceptual Organization model can capture the non-accidental structural relations among the constituent parts of an object. The experimental results show that our proposed method outperformed two competing image segmentation approaches and achieved good segmentation quality on various natural scene environments.
['C. H. Cheng', 'Andreas F. Koschan', 'David L. Page', 'Mongi A. Abidi']
Scene image segmentation based on Perceptual Organization