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 :
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