Image registration has great significance in medicine, astrophotography and satellite imaging, so a lot of techniques have been developed within its perspective of one or the other discipline. This paper presents a method for medical image registration of multimodal brain images using Modified Adaptive Polar Transform (MAPT). This algorithm can be used to register images of the same or differen...

Multimodal medical image fusion technique plays an important role in clinical applications, such as pathologic diagnosis and surgical options. However, many traditional fusion methods cannot well preserve details of source images in the fused image. To address this problem, a detail-enhanced image fusion scheme based on nonsubsampled contourlet transform (NSCT) and gain control (i.e., NCGC) is ...

Aiming at solving the fusion problem of multimodal medical images, a novel medical image fusion algorithm is present in this paper. The multiwavelet is combined with the NSDFB to construct the proposed Multi-NSDFB transform. The source images can be decomposed into several lowpass coefficient and highpass coefficient. And all coefficients can be decomposed into four direction subbands. The modi...

Fusion imaging is one of the most modern, accurate and useful diagnostic techniques in medical imaging today. The new technology has made a clear difference in patient care by compressing the time between diagnosis and treatment. Although image fusion can have different purposes, the main aim of fusion is spatial resolution enhancement or image sharpening. Also known as integrated imaging, it p...

Misdiagnosis is a problem in the medical field, often related to physicians’ cognitive errors. Overconfidence is considered a major cause of such errors. Intelligent diagnostic support systems could benefit from understanding how aware physicians are of their performance when they estimate their confidence in a diagnosis (i.e. a physician’s diagnostic self-awareness). Shedding light on the cogn...

Medical image fusion is a technique that integrates complementary information from multimodality images. The fused image is more suitable for treatment plan strategies. In this paper, an efficient medical image fusion method has been proposed based on shearlet transform and human visibility feature as fusion rule. Image fusion rule is the solution that influences the quality of image fusion. Th...

Multimodal question answering in the cultural heritage domain allows visitors to museums, landmarks or other sites to ask questions in a more natural way. This in turn provides better user experiences. In this paper, we propose the construction of a golden standard dataset dedicated to aiding research into multimodal question answering in the cultural heritage domain. The dataset, soon to be re...

this paper presented a multimodal discourse analysis of some visual images in the political rally discourse of 2011 electioneering campaigns in southwestern nigeria. the data comprised purposively selected political visual artefacts from political rallies across the six southwestern states in nigeria (osun, oyo, ondo, ekiti, ogun, and lagos). the data were analyzed using halliday’s (1985) syste...