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Proceedings Paper

High-resolution texture analysis for cytology
Author(s): Farid Hallouche; Alan E. Adams; Oliver R. Hinton
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Paper 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.

Paper Details

Date Published: 1 June 1991
PDF: 9 pages
Proc. SPIE 1445, Medical Imaging V: Image Processing, (1 June 1991); doi: 10.1117/12.45247
Show Author Affiliations
Farid Hallouche, Univ. of Newcastle upon Tyne (United Kingdom)
Alan E. Adams, Univ. of Newcastle upon Tyne (United Kingdom)
Oliver R. Hinton, Univ. of Newcastle upon Tyne (United Kingdom)

Published in SPIE Proceedings Vol. 1445:
Medical Imaging V: Image Processing
Murray H. Loew, Editor(s)

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