Automatic Characterization of the Visual Appearance of Industrial Materials through Colour and Texture Analysis : An Overview of Methods and Applications
Joint Authors
Saetta, Stefano A.
Bianconi, Francesco
González, Elena
Álvarez, Marcos X.
Source
Advances in Optical Technologies
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-30
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Engineering Sciences and Information Technology
Abstract EN
We present an overview of methods and applications of automatic characterization of the appearance of materials through colour and texture analysis.
We propose a taxonomy based on three classes of methods (spectral, spatial, and hybrid) and discuss their general advantages and disadvantages.
For each class we present a set of methods that are computationally cheap and easy to implement and that was proved to be reliable in many applications.
We put these methods in the context of typical industrial environments and provide examples of their application in the following tasks: surface grading, surface inspection, and content-based image retrieval.
We emphasize the potential benefits that would come from a wide implementation of these methods, such as better product quality, new services, and higher customer satisfaction.
American Psychological Association (APA)
González, Elena& Bianconi, Francesco& Álvarez, Marcos X.& Saetta, Stefano A.. 2013. Automatic Characterization of the Visual Appearance of Industrial Materials through Colour and Texture Analysis : An Overview of Methods and Applications. Advances in Optical Technologies،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-476791
Modern Language Association (MLA)
González, Elena…[et al.]. Automatic Characterization of the Visual Appearance of Industrial Materials through Colour and Texture Analysis : An Overview of Methods and Applications. Advances in Optical Technologies No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-476791
American Medical Association (AMA)
González, Elena& Bianconi, Francesco& Álvarez, Marcos X.& Saetta, Stefano A.. Automatic Characterization of the Visual Appearance of Industrial Materials through Colour and Texture Analysis : An Overview of Methods and Applications. Advances in Optical Technologies. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-476791
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-476791