The process of capturing, transfer and sharing of information in the form of digital images have become easier due to the use of advanced technologies. Retrieval of desired images from these huge collections of image databases is one of the popular research areas and has its applications in various fields. An image set consists of images containing objects of different colours, shapes, orientations and sizes. The surface texture of the object in an image may also vary from another object in a different image. These factors make the process of image retrieval a difficult one. In this paper, Self-Organising Map is applied on local texture features for organising the brain magnetic resonance images according to their similarity. The correlation among the pixels is considered for the retrieval of most similar images to the input query image. The experimental results obtained prove the effectiveness of the proposed method for medical images.
"Medical image retrieval using self-organising map on texture features,"
Future Computing and Informatics Journal: Vol. 3
, Article 20.
Available at: https://digitalcommons.aaru.edu.jo/fcij/vol3/iss2/20