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15th IEEE Symposium on Computer-Based Medical Systems (CBMS'02)
How to Add Content-based Image Retrieval Capability in a PACS
Maribor, Slovenia
June 04-June 07
ISBN: 0-7695-1614-9
Josiane M. Bueno, University of Sao Paulo at Sao Carlos
Fabio Chino, University of Sao Paulo at Sao Carlos
Agma J.M. Traina, University of Sao Paulo at Sao Carlos
Caetano Traina Jr., University of Sao Paulo at Sao Carlos
Paulo M. Azevedo-Marques, University of Sao Paulo at Ribeirao Preto
This paper presents a new Picture Archiving and Communication System (PACS), called cbPACS which has content-based image retrieval resources. The cbPACS answers similarity queries (range and nearest-neighbor) taking advantage of a metric access method embedded into the image database manager. The images are compared through their features, which are extracted by the image processing system module. By now, the system works on features based on color distribution of the images through normalized histograms as well as metric histograms. Metric histograms are invariant regarding scale, translation and rotation of images and also to brightness transformations. The cbPACS is prepared to integrate new image features, based on texture and shape of the main objects in the image.
Citation:
Josiane M. Bueno, Fabio Chino, Agma J.M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques, "How to Add Content-based Image Retrieval Capability in a PACS," cbms, pp.321, 15th IEEE Symposium on Computer-Based Medical Systems (CBMS'02), 2002
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