Special Issue "Applications of Computer Vision"
Deadline for manuscript submissions: 31 March 2021.
Interests: image segmentation; texture analysis; classification; regression; pattern recognition; applications of computer vision
Computer vision (CV) techniques are widely used by the practicing engineer to solve a whole range of real vision problems. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible, covering some practical application of CV methods in all branches of science and engineering. Submitted papers should report some novel aspect of CV use for a real-world engineering application and also validated using data sets. There is no restriction on the length of the papers. Electronic files and software regarding the full details of the calculation or experimental procedure, if unable to be published in a normal way, can be deposited as supplementary electronic material.
Focal points of the Special Issue include but are not limited to innovative applications of:
- Medical and biological imaging
- Industrial inspection
- Photo and video interpretation
- Image retrieval
- Video analysis and annotation
- Sensors and more.
Dr. Eva Cernadas
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 papers will be 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. Electronics is an international peer-reviewed open access monthly 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 1500 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.
- image and video segmentation
- image classification
- video analysis
- pattern recognition
- image and video understanding
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Tailored computer vision systems to quantitative analyze microscopic images in biomedicine
Authors: E. Cernadas; et al
Affiliation: Centro Singular de Investigación en Tecnoloxías Intelixentes (CITIUS, Research center of Intelligent Systems), University of Santiago de Compostela
Abstract: White light microscopy imaging has a prominent role in life science and medical research. Due to the advances of the last decade in technology for microscopy, the interest on computerized methods for microscopic image analysis is growing in order to make precise quantitative characterization of slice. Microscopic study of a tissue provides detailed insight into celular morphology. For the sake of visualizing under the microscope, the tissue is normally prepared and stained following standard protocols. For white light microscope, the most used are histological and immunohistochemistry staining protocols, in which different components of the tissue are dyed with different stains. Biomedical researchers often perform manual inspection of microscopic image, but this task is very time consuming and require large effort and concentration of specialized personal. So, the quantitative analysis of biomedical images is rarely done, despite of the useful information that they provide to diagnosis and therapeutic treatment. Quantitative analysis of microscopic images encloses the recognition, classification, measure and count of structures of interest in the image. Currently free and open source software for image analysis exists, like ImageJ (based on Java), but it is not adequate for many biomedical analysis, because it requires specialized knowledge on computer language and programming skills for defining plugins or macros, and the recognition results provided by the automatic algorithms cannot be supervised by experts before quantification. We developed software tools that combine the automatic processing of the image with a friendly graphical user interface to review the process before quantification. Some examples of these software, which are being used satisfactory in real environments in different fields.