Multidimensional feature space for an effective content based medical image retrieval

An effective content-based image retrieval system is essential to locate required medical images in huge databases. This paper proposes an effective approach to improve the effectiveness of retrieval system. The proposed scheme involves first, by detecting the boundary of the image, based on intensity gradient vector image model followed by exploring the content of the interior boundary with the help of multiple features using Gabor feature, Local line binary pattern and moment based features. The Euclidean distance are used for similarity measure and then these distances are sorted out and ranked. As a result, the Recall rate enormously improved and Error rate has been decreased when compared to the existing retrieval systems.