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Proceedings Paper

Spatial wise image co-clustering: a new approach for image pair segmentation
Author(s): Mariusz Paradowski
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Paper Abstract

Image similarity measurement is one of the key research areas in pattern recognition and image retrieval. The paper presents a new, clustering based approach, called Image Co-Clustering. The term co-clustering is related to cosegmentation, where two or more images are segmented simultaneously. The proposed approach simultaneously clusters feature vector sets from two images. Generated clusters represent similar parts in both images. To have visually coherent clusters, spatial constrains should be imposed onto the clustering algorithm. The key difficulty is to impose spatial constrains in such a way, that the same objects having different locations, rotations and scales on two images are captured in the same cluster. The proposed spatial constraining is called partial spatial constraining.

Paper Details

Date Published: 26 February 2010
PDF: 7 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75460O (26 February 2010); doi: 10.1117/12.853388
Show Author Affiliations
Mariusz Paradowski, Nanyang Technological Univ. (Singapore)
Wroclaw Univ. of Technology (Poland)

Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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