Authors:
Hwang-soo Kim
and
Hwajeong Lee
Affiliation:
Kyungpook National University, Korea, Republic of
Keyword(s):
Image segmentation, Gravitational clustering, Neighbor relation.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Feature Extraction
;
Features Extraction
;
Image and Video Analysis
;
Informatics in Control, Automation and Robotics
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
In this paper, we propose a color image segmentation method based on gravitational clustering using neighbor relations in the spatial domain and distance information in RGB space among pixels. Most clustering-based segmentation algorithms use only color space distances after pixels are mapped from the spatial domain to color space, ignoring their neighbor relations; but we use both information. We use gravitational clustering, which imitates the Law of Gravity, and the gravitational force is applied only to neighboring clusters. The results show that the proposed method is effective in finding exact boundaries of regions.