DocumentCode
3497896
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
fYear
2009
fDate
7-10 Nov. 2009
Firstpage
1801
Lastpage
1804
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location
Cairo
ISSN
1522-4880
Print_ISBN
978-1-4244-5653-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2009.5414627
Filename
5414627
Link To Document