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Mathematics
Special Issues
Applications of Mathematics to Engineering and Information Sciences
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Applications of Mathematics to Engineering and Information Sciences

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".

Deadline for manuscript submissions: closed (31 December 2019) | Viewed by 5664

Special Issue Editor

Prof. Dr. J. Alberto Conejero

E-Mail Website
Guest Editor
Institute of Pure and Applied Mathematics (IUMPA-UPV), Polytechnic University of Valencia, E-46022 Valencia, Spain
Interests: applied mathematics; graph theory; data science; interdisciplinary applications of mathematics to computer science, engineering and biology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The latest advances in communications and information sciences depend a great deal on mathematical models and applications. Nowadays, the exponential increase of available data requires suitable models, not only to perform efficient data processing and management. Such models are needed to make fast and accurate estimations and predictions from these data, to estimate the quality of the data, and to evaluate the adequacy of the underlying infrastructure that generates and supports them.

This issue aims to present some relevant applications of mathematics to communication networks, high-performance computing, and novel computing systems. Submitted manuscripts should meet high standards of exposition and clearly indicate the mathematical contribution in the work.

Prof. Dr. J. Alberto Conejero
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • internet-based, multimedia, wireless networks and applications
  • communications, especially wireless
  • signal processing architectures, algorithms, and applications
  • green technologies in information, computing, and communication systems
  • multi-disciplinary areas, including robotics, embedded systems, and security

Published Papers (1 paper)

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Research

17 pages, 3545 KiB  
Article
Extraction of Blood Vessels in Fundus Images of Retina through Hybrid Segmentation Approach
by Ramakrishnan Sundaram, Ravichandran KS, Premaladha Jayaraman and Venkatraman B
Mathematics 2019, 7(2), 169; https://0-doi-org.brum.beds.ac.uk/10.3390/math7020169 - 13 Feb 2019
Cited by 36 | Viewed by 5068
Abstract
A hybrid segmentation algorithm is proposed is this paper to extract the blood vessels from the fundus image of retina. Fundus camera captures the posterior surface of the eye and the captured images are used to diagnose diseases, like Diabetic Retinopathy, Retinoblastoma, Retinal [...] Read more.
A hybrid segmentation algorithm is proposed is this paper to extract the blood vessels from the fundus image of retina. Fundus camera captures the posterior surface of the eye and the captured images are used to diagnose diseases, like Diabetic Retinopathy, Retinoblastoma, Retinal haemorrhage, etc. Segmentation or extraction of blood vessels is highly required, since the analysis of vessels is crucial for diagnosis, treatment planning, and execution of clinical outcomes in the field of ophthalmology. It is derived from the literature review that no unique segmentation algorithm is suitable for images of different eye-related diseases and the degradation of the vessels differ from patient to patient. If the blood vessels are extracted from the fundus images, it will make the diagnosis process easier. Hence, this paper aims to frame a hybrid segmentation algorithm exclusively for the extraction of blood vessels from the fundus image. The proposed algorithm is hybridized with morphological operations, bottom hat transform, multi-scale vessel enhancement (MSVE) algorithm, and image fusion. After execution of the proposed segmentation algorithm, the area-based morphological operator is applied to highlight the blood vessels. To validate the proposed algorithm, the results are compared with the ground truth of the High-Resolution Fundus (HRF) images dataset. Upon comparison, it is inferred that the proposed algorithm segments the blood vessels with more accuracy than the existing algorithms. Full article
(This article belongs to the Special Issue Applications of Mathematics to Engineering and Information Sciences)
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