How to Add Content-based Image Retrieval Capability in a PACS

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.

• Type: Conference
• Year: 2002
• Where: CBMS
• Authors: Josiane M. Bueno, Fabio Jun Takada Chino, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques
• Keywords: CBMS 2002, Content-based Image Retrieval, Image, Medical Imaging, Metric Histograms