Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal Correspondence should be addressed to Copyright © 2018 Md Atiqur Rahman Ahad et al.
Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal Correspondence should be addressed to Copyright © 2018 Md Atiqur Rahman Ahad et al.Tags: Problem Solving Interview Questions And AnswersWrite My Paper MeModel Citizen EssayEssays Of Cannibals Montaigne SummaryGcse Biology Coursework Osmosis HelpBoat Journey EssayCritical Lens Essay Examples
This special issue demanded to cover the broad spectrum that benefits from the automatic understanding of medical healthcare image analysis and related topics.
This special issue accepted high-quality research papers as well as review articles covering both the challenges and applications of image processing and vision in healthcare, for the betterment of human life.
Hence, we have endeavored to delve into the healthcare using image processing and computer vision, though sensor-based activity is also a very important area [1, 2].
Integration of various cues and modalities can enhance the performance of image- or vision-based analysis.
Various important areas are covered here, broadly medical imaging for healthcare, vision systems in healthcare applications, pattern recognition related to healthcare, big data and data mining in healthcare, multimodal integration for healthcare, affective computing, biometrics issues related to healthcare, and action or emotion or behavior analysis/recognition [2, 3] for healthcare applications, and so forth.
Research Paper On Image Processing
For example, in order to develop smart homes for elderly people, comprehending various activities based on image or video or sensor are very crucial.
The fun part is, we can use these types of noise as special effects in an image using MATLAB. 2 shows the results of different types of noise added to an image.
In this image, RGB-to-gray conversion is done first and then different types of noise are added in the image through the program. A histogram of an image provides a vast description about an image.
Publication Ethics and Malpractice Statement The Journal follows a double blind peer-review process.
The submitted articles / research papers are reviewed by Professors/Educators in Image Processing fields.