Spatial wise image co-clustering: a new approach for image pair segmentation

Mariusz Paradowski

doi:10.1117/12.853388

26 February 2010 Spatial wise image co-clustering: a new approach for image pair segmentation

Mariusz Paradowski

Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75460O (2010) https://doi.org/10.1117/12.853388
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore

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.

Citation Download Citation

Mariusz Paradowski "Spatial wise image co-clustering: a new approach for image pair segmentation", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75460O (26 February 2010); https://doi.org/10.1117/12.853388

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KEYWORDS

Image segmentation

Distance measurement

Image retrieval

Visualization

Image processing

Databases

Cameras

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