Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/62212
Title: Fractal image analysis for automated kidney microscopy
Authors: Jin, X.C. 
Ong, S.H. 
Issue Date: Sep-1995
Source: Jin, X.C.,Ong, S.H. (1995-09). Fractal image analysis for automated kidney microscopy. Journal of Computer-Assisted Microscopy 7 (3) : 127-133. ScholarBank@NUS Repository.
Abstract: This paper describes the implementation of an image analysis system for automated kidney microscopy. Autofocused images of kidney tissue sections, which differ in texture according to the severity of tissue damage, are evaluated. It is shown that fractal dimension varies according to the state of the kidney tissue, and is significantly different between normal and abnormal states. A linear classifier is designed based on the statistical properties of the experimental data. Satisfactory classification of normal and damaged kidney tissue is achieved.
Source Title: Journal of Computer-Assisted Microscopy
URI: http://scholarbank.nus.edu.sg/handle/10635/62212
ISSN: 10407286
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

14
checked on Dec 8, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.