High-resolution texture analysis for cytology

Farid Hallouche; Alan E. Adams; Oliver R. Hinton

doi:10.1117/12.45247

1 June 1991 High-resolution texture analysis for cytology

Farid Hallouche, Alan E. Adams, Oliver R. Hinton

Proceedings Volume 1445, Medical Imaging V: Image Processing; (1991) https://doi.org/10.1117/12.45247
Event: Medical Imaging '91, 1991, San Jose, CA, United States

Abstract

Computer based image analysis offers a wide range of techniques which can be used to make objective and reproducible detection and measurement of subvisual features of microscopic images of cells. Texture information is understood to be quite relevant to cyto-diagnosis, and is badly in need for quantification. We describe here two alternatives for texture analysis; the frequency spectrum and the runlength methods. Some experiments with both simulated and real cell image data have been carried out using these methods and preliminary results obtained. It is shown that these results are promising in that they seem to correlate with some medical expectations.

Citation Download Citation

Farid Hallouche, Alan E. Adams, and Oliver R. Hinton "High-resolution texture analysis for cytology", Proc. SPIE 1445, Medical Imaging V: Image Processing, (1 June 1991); https://doi.org/10.1117/12.45247

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