MRI image retrieval based on texture spectrum and edge histogram features

The increased need of content based image retrieval technique can be found in a number of different domains such as Data Mining, Education, Medical Imaging, Crime Prevention, Weather forecasting, Remote Sensing and Management of Earth Resources. This proposed paper presents the content based image retrieval for medical applications, using texture features and shape. This method uses a texture spectrum to extract texture features and edge histogram to extract shape features of MRI medical images. Then K-mean cluster and Manhattan distance is used for medical image retrieval.