An interesting problem in computer vision is that of image registration, which plays an important role in many vision-based recognition and motion analysis applications. Of particular interest among data registration problems are multimodal image registration problems, where the image data sets are acquired using different imaging modalities. There are several important issues that make real-wo...

Multimodal image registration is a difficult task, due to the significant intensity variations between the images. A common approach is to use sophisticated similarity measures, such as mutual information, that are robust to those intensity variations. However, these similarity measures are computationally expensive and, moreover, often fail to capture the geometry and the associated dynamics l...

Due to ever increasing of medical images data in the world’s medical centers and recent developments in hardware and technology of medical imaging, necessity of medical data software analysis is needed. Equipping medical science with intelligent tools in diagnosis and treatment of illnesses has resulted in reduction of physicians’ errors and physical and financial damages. In this article we pr...

Medical image fusion plays an important role in diagnosis and treatment of diseases such as image-guided radiotherapy and surgery. The modified local contrast information is proposed to fuse multimodal medical images. Firstly, the adaptive manifold filter is introduced into filtering source images as the low-frequency part in the modified local contrast. Secondly, the modified spatial frequency...

Human communication is naturally multimodal, and substantial focus has examined the semantic correspondences in speech-gesture and text-image relationships. However, visual narratives, like those in comics, provide an interesting challenge to multimodal communication because the words and/or images can guide the overall meaning, and both modalities can appear in complicated "grammatical" sequen...

Histogram computation is the crucial task used in processing so many image guided applications like pattern recognition, segmentation etc. Image registration one of fundamental techniques for pre-processing images. Registration process overlaying multiple images to geometrically align them. In medical processing, improper can have negative impact on analysis which influences final diagnosis. Th...

Abstract The advances in biomedical imaging equipment have produced a massive amount of medical images that are generated by the different modalities. Consequently, huge volume data has been and caused complex time-consuming retrieving process relevant cases. To resolve this issue, Content-Based Biomedical Image Retrieval (CBMIR) system is applied to retrieve related from earlier patients’ data...

Multimodal data of the complex human anatomy contain a wealth of information. To visualize and explore such data, techniques for emphasizing important structures and controlling visibility are essential. Such fused overview visualizations guide physicians to suspicious regions to be analyzed in detail, e.g. with slice-based viewing. We give an overview of state of the art in multimodal medical ...

Different magnetic resonance imaging pulse sequences are used to generate image contrasts based on physical properties of tissues, which provide different and often complementary information about them. Therefore multiple image contrasts are useful for multimodal analysis of medical images. Often, medical image processing algorithms are optimized for particular image contrasts. If a desirable c...

The medical tourism industry, which was seriously affected by the coronavirus disease of 2019 (COVID-19), needs to give attention its online promotional message strategy boost industry. Cultural variability is also crucial since market for industry global. However, studies involving cultural have only focused on examining single discourse mode, mainly linguistic mode and overlooked multimodal p...