Content-based image retrieval (CBIR) has been one of the most vivid research areas in the field of computer vision, and substantial progress has been made over the last years. Efficient content-based image retrieval in the medical domain is still a challenging problem. CBIR systems are currently being integrated with picture archiving and communication systems for increasing the overall search capabilities and tools available for radiologists. Shape is one of the fundamental visual features in content-based medical image retrieval. This paper describes Generic Fourier shape descriptor and medical image retrieval system using Generic Fourier shape descriptor. The retrieval performance of this shape descriptor is tested using a large medical image database and measured using commonly used performance measurement.
CBIR, Generic Fourier Descriptors, Precision and Recall, Medical Images, PACS
