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Special Issue "Texture and Colour in Image Analysis"
Deadline for manuscript submissions: 31 January 2020.
Department of Engineering Design, Universidade de Vigo, Spain
Interests: image processing; machine learning; computer vision; texture analysis
Special Issues and Collections in MDPI journals
Colour and texture are among the visual properties that mostly determine the appearance of objects, materials and scenes. As a consequence, the analysis of colour and texture plays a fundamental role in a wide range of applications, for instance, object recognition, scene understanding, materials classification, defect detection, biometric identification, content-based multimedia retrieval, remote sensing and computer-assisted diagnosis.
The field is undergoing rapid changes. While the “hand-designed” paradigm was the leading approach until not too long ago, during the last few years, research has been shifting towards data-driven models, where the visual features are no longer designed “a priori”, but learned from the data (deep learning).
This Special issue wants to provide a forum to discuss strategies, challenges and perspectives in this field of research. We are soliciting original contributions as well as thorough reviews and comprehensive comparative evaluations. We particularly encourage the submission of theoretical works investigating the mathematical underpinnings of colour and texture analysis.
Prof. Francesco Bianconi
Prof. Dr. Antonio Fernández
Prof. Raúl E. Sánchez-Yáñez
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. Applied Sciences 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 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.
- Mathematics of colour and texture
- Perceptual models of colour and texture
- Hand-designed image descriptors
- Convolutional networks and deep learning
- Datasets, comparative evaluations and benchmarks
- Materials classification
- Biomedical image analysis
- Colour and texture in the arts and cultural heritage
- Remote sensing
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.
1. Title: Partial order rank features in colour space
Authors: Fabrizio Smeraldi 1, Francesco Bianconi 2, Antonio Fernández 3 and Elena González 3
Affiliation: 1. Queen Mary, University of London, United Kingdom
2. Università degli Studi di Perugia, Italy
3. Universidade de Vigo, Spain
2. Title: Face Liveness Detection by Pulse-based Features and Textural-based CNN
Author: Dr. Xiaobai Li
Affiliation: Faculty of Information Technology and Electrical Engineering
3. Title: Local Polar Spectral Texture Descriptors for Liver Cancer Tisue Classification
Author: Jaromír Kukal, Zuzana Krbcová, Mares Jan
Affiliation: Czech Technical University in Prague