Objective. Classification of MRI image data based on its attribute characteristics is very important for storing the image data and its efficient retrieval. This project aims to find a solution to the problem of classification of the images that are stored on a hard drive and image retrieval from the image database with optimum automation in a user friendly way. Method. Matlab was used to create a software tool for image classification and, Java and SQL were used to create a software tool for image retrieval. Results. Image classification tool could read multiple files, extract attribute values from the files and store them in a directory hierarchy automatically. Image retrieval tool could query the database and route the user to the actual image data that was stored on the hard drive. Conclusions. The image classification tool was efficient at classifying images in relatively short time as compared to other tools and with minimum labor. Image retrieval tool could successfully execute queries via a user friendly Graphical User Interface (GUI), without the user having to know the programming language of the database.Method. Matlab was used to create a software tool for image classification and, Java and SQL were used to create a software tool for image retrieval. Results.
|Title||:||A Novel Approach for MRI Image Classification and Image Retrieval|
|Publisher||:||ProQuest - 2008|