Intelligent Fractured Image Retrieval From Medical Image Databases

摘要

The retrieval of stored medical images matching an input medical image is an imperative form ofcontent-based retrieval. For efficient similarity image retrieval and integration, the medical images should beprocessed systematically to extract a representing feature space vector for each member image. This studyexplains a system, which takes a fractured image as a query image and retrieves the similar images from theimage database using distance metrics and also provides the radiologists with details about the type of fractureand the treatment recommended. The key objective of present research is to retrieve similar X-ray images offractured reports using K-Nearest Neighbor. Images are matched using color in gray level and texture attributes.Similarity between images is established based on the respective numeric values (Signature). Features areextracted from X-ray images. Indexing is also performed on extracted features using a k-d tree data structure forimages and is stored in a backend database for effective retrieval.