Title :
How to add content-based image retrieval capability in a PACS
Author :
Bueno, Josiane M. ; Chino, Fabio ; Traina, Agma J M ; Traina, Caetano, Jr. ; Azevedo-Marques, Paulo M.
Author_Institution :
Comput. Sci. Dept., Sao Paulo Univ., Brazil
Abstract :
This paper presents a new picture archiving and communication system (PACS), called cbPACS (content-based PACS), which has content-based image retrieval resources. cbPACS answers similarity (range and nearest-neighbor) queries, taking advantage of a metric access method embedded into the image database manager. The images are compared via their features, which are extracted by an image processing system module. The system works on features based on the color distribution of the images through normalized histograms as well as metric histograms. Metric histograms are invariant with regard to scale, translation and rotation of images and also to brightness transformations. cbPACS is prepared to integrate new image features, based on the texture and shape of the main objects in the image.
Keywords :
PACS; brightness; content-based retrieval; feature extraction; graphs; image retrieval; image texture; invariance; medical image processing; PACS; brightness transformation invariance; cbPACS; content-based image retrieval; feature extraction; feature-based images comparison; image color distribution; image database manager; image processing system module; metric access method; metric histograms; nearest-neighbor queries; normalized histograms; object shape; object texture; range queries; rotation invariance; scale invariance; similarity queries; translation invariance; Content based retrieval; Content management; Feature extraction; Histograms; Image databases; Image processing; Image retrieval; Information retrieval; Picture archiving and communication systems; Resource management;
Conference_Titel :
Computer-Based Medical Systems, 2002. (CBMS 2002). Proceedings of the 15th IEEE Symposium on
Print_ISBN :
0-7695-1614-9
DOI :
10.1109/CBMS.2002.1011397