Application of the Ornstein-Uhlenbeck equations for biomedical image processing

Juan Pablo Mesa López

doi:10.1117/12.2049654

28 May 2014 Application of the Ornstein-Uhlenbeck equations for biomedical image processing

Juan Pablo Mesa López

Proceedings Volume 9100, Image Sensing Technologies: Materials, Devices, Systems, and Applications; 91000P (2014) https://doi.org/10.1117/12.2049654
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

The purpose of this paper is to demonstrate the implementation of a new kind of image filter, in which the equations of the Ornstein-Uhlenbeck process are used in image processing in order to detect the edges of computerized images taken with magnetic resonance imaging (MRI) scanners, as a generalization of the standard Gaussian filter. This new filter will be called Ornstein-Uhlenbeck filter (OUF). One of the results obtained after applying the filter to the image, with the variation of the parameter σ is an effective differentiation of the various organs that are next to each other in each one of the resulting images. In addition, the edges of the internal body parts and organs are highlighted efficiently and differentiated from their surroundings.

Citation Download Citation

Juan Pablo Mesa López "Application of the Ornstein-Uhlenbeck equations for biomedical image processing", Proc. SPIE 9100, Image Sensing Technologies: Materials, Devices, Systems, and Applications, 91000P (28 May 2014); https://doi.org/10.1117/12.2049654

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available