Sketch-based perception model for evaluating color segmentations

Authors:
David Gavilan;Hiroki Takahashi;Suguru Saito;Masayuki Nakajima
Affiliations:
Tokyo Institute of Technology, Ookayama Meguro-ku, Japan;Tokyo Institute of Technology, Ookayama Meguro-ku, Japan;Tokyo Institute of Technology, Ookayama Meguro-ku, Japan;Tokyo Institute of Technology, Ookayama Meguro-ku, Japan
Venue:
APGV '05 Proceedings of the 2nd symposium on Applied perception in graphics and visualization
Year:
2005

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Abstract

Global purpose segmentation in uncontrolled environments, usually based on human perception, has gained attention in recent years [Comaniciu and Meer 2002]. In this work, we propose an evaluation method to measure how much close are the segmentation results to human's perception. This study contributes to the image processing field by adding pictorial knowledge to segmentation algorithms, and to image retrieval applications by aiding in the selection of a segmentation method.