EPFL | Biomedical Imaging Group | Texture Processing

Fundamentals of Texture Processing for Biomedical Image Analysis: A General Definition and Problem Formulation

A. Depeursinge, J. Fageot, O.S. Al-Kadi

Biomedical Texture Analysis, A. Depeursinge, O.S. Al-Kadi, J.R. Mitchell, Eds., Academic Press, London, United Kingdom, ch. 1, pp. 1-27, 2017.

This chapter aims to provide an overview of the foundations of texture processing for biomedical image analysis. Its purpose is to define precisely what biomedical texture is, how is it different from general texture information considered in computer vision, and what is the general problem formulation to translate 2D and 3D textured patterns from biomedical images to visually and biologically relevant measurements. First, a formal definition of biomedical texture information is proposed from both perceptual and mathematical point of views. Second, a general problem formulation for biomedical texture analysis is introduced, considering that any approach can be characterized as a set of local texture operators and regional aggregation functions. The operators allow locally isolating desired texture information in terms of spatial scales and directions of a texture image. The type of desirable operator invariances are discussed, and are found to be different from photographic image analysis. Scalar-valued texture measurements are obtained by aggregating operator's response maps over regions of interest.

@INCOLLECTION(http://bigwww.epfl.ch/publications/depeursinge1705.html,
AUTHOR="Depeursinge, A. and Fageot, J. and Al-Kadi, O.S.",
TITLE="Fundamentals of Texture Processing for Biomedical Image Analysis:
	{A} General Definition and Problem Formulation",
BOOKTITLE="Biomedical Texture Analysis",
PUBLISHER="Academic Press",
YEAR="2017",
editor="Depeursinge, A. and Al-Kadi, O.S. and Mitchell, J.R.",
volume="",
series="",
type="",
chapter="1",
pages="1--27",
address="London, United Kingdom",
edition="",
month="",
note="")

© 2017 Academic Press. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from Academic Press. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.