Title :
Scene image segmentation based on Perceptual Organization
Author :
Cheng, Chang ; Koschan, Andreas ; Page, David L. ; Abidi, Mongi A.
Author_Institution :
IRIS Lab., Univ. of Tennessee, Beijing, China
Abstract :
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.
Keywords :
image segmentation; object detection; Gestalt laws; boundary detection; natural scene environments; perceptual organization model; scene image segmentation algorithm; Buildings; Humans; Image segmentation; Iris; Jacobian matrices; Layout; Object detection; Psychology; Vehicles; Visual system; Boundary Detection; Boundary Energy; Image Segmentation; Perceptual Organization;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5414627