A semantic approach to brain CT images retrieval

The brain CT image database is the result of the efforts made at the No. 161 Center Hospital for accurately diagnosing encephalic illness. How to prevent the man-made error and improve the interpret level for brain CT images, is the purpose of this database, so the content-based semantic brain CT image retrieval process become important. We adopt some methods in order to overcome the semantic gap between low-level visual features with high-level semantic features. Finally, we apply a new complex similarity query algorithm to fulfill the image retrieval.