The multimodal medical image fusion is an important application in many medical applications. This is used for the retrieval of complementary information from medical images. The MRI and CT image provides high resolution images with structural and anatomical information. The CT image is used in tumour and anatomical detection and MRI is used to obtain information among tissues. In this paper, w...

in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...

In medical images, Content-based image retrieval (CBIR) is a primary technique for computer-aided diagnosis. Many research works were developed in content based medical image retrieval, but the techniques have the drawback of low efficiency and high computation cost. To avoid such negative aspects a new enhanced Content Based Medical Image Retrieval (CBMIR) based on MFCM clustering technique is...

Advances in image and video processing algorithms and the availability of computational resources has paved the way for real-time medical decision support systems to be a reality. Video capsule endoscopy is a direct imaging method for gastrointestinal regions and produces large scale color video data. Fuzzification of color spaces can improve contextual description based tasks that are required...

Due to the vast number of medical technologies and equipments the medical images are growing at a rapid rate. This directs to retrieve efficient medical images based on visual contents. This paper proposed the content based medical image retrieval system by means of Gabor wavelet to extract texture features of MRI scan images. Then the k-means clustering, progressive retrieval strategy and Eucl...