Neethu C. Joseph
ABSTRACT
Data mining is an egress area for research, because a huge volume of electronic data is generated in each seconds. The image mining is a new outgrowth of data mining, in which the analysis of image data is carried out. In the case of medical images the mining is an important task. The increasingly large medical collections introduces big challenges in medical data management and retrieval. The medical images contains very crucial information's, which are important in the characterization of diseases. There is some medical information retrieval systems and also some medical image retrieval systems are existing. But that systems have some limitations and draw backs. This paper proposed a novel Medical Image Mining System, MIMS that performs the medical image retrieval task. The system extracts the SURF features from the images. The KD Tree method is used to indexing the feature dataset. The KNN classifier is used for image searching. This image retrieval system retrieves most of the similar images from the data base. The performance measures shows that the proposed system worked efficiently.
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Index Terms
- Medical Image Mining System: MIMS
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