Image registration (IR) is the process of geometric overlaying or alignment of two or more 2D/3D images of the same scene (unimodal registration), taken or not at different time slots, from different angles, and/or by different image acquisition systems (multimodal registration). Technically, image registration implies a complex optimization of different parameters, performed at local or/and gl...

The registration of multimodal medical images is an important tool in surgical applications, since different scan modalities highlight complementary anatomical structures. We present a method of computing the best rigid registration of pairs of medical images of the same patient. The method uses prior information on the expected joint intensity distribution of the images when correctly aligned,...

The objective of Image fusion is to combine information from multiple images of the same scene in to a single image retaining the important and required features from each of the original image. Nowadays, with the rapid development in high-technology and modern instrumentations, medical imaging has become a vital component of a large number of applications, including diagnosis, research, and tr...

This paper presents a detailed examination of learning transfer from an English for Specific Academic Purposes course to authentic discipline-specific writing tasks. To enhance transfer practices, a new approach in planning writing tasks and materials selection was developed. Concerning the conventions of studies in learning transfer that acknowledge different learning preferences, the instruct...

A document conveys information using multiple modalities, including text, layout/style and images. For example, journal articles usually have figures to illustrate experimental results, and the title in a journal article usually has a different font size than the body text. Indexing and retrieval using only text is the traditional way of IR (Information Retrieval). With the development of the I...

Tag-based social image search is now very popular for accessing large numbers of collaboratively tagged images on social image sharing platforms. Unfortunately, because of the uncertainty of the relatedness between images and their annotation tags, a very large number of junk images are returned by such search engines without filtering. In this paper, to filter out junk images, the result image...