Abstract/Details

Enhancing micro-organism images by estimating image background


2001 2001

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Abstract (summary)

One- and two-dimensional techniques are proposed for enhancing micro-organism images using linear least-squares fitting, median filtering combined with bicubic approximation and wavelet filtering, respectively. The quality of enhanced images with pixel dimensions of 1200 x 1600 is examined from their corresponding binary images. It shows that one-dimensional modeling requires much less computation but provides relatively low quality output. On the other hand, the two-dimensional approximations for non-uniform lighting background, using both bicubic spline and wavelet filtering, are more effective and yield very high quality binary images tested with three different grayscale images.

Indexing (details)


Subject
Chemical engineering
Classification
0542: Chemical engineering
Identifier / keyword
Applied sciences; Bicubic spline; Image enhancement; Microorganisms; Wavelet filtering
Title
Enhancing micro-organism images by estimating image background
Author
Liu, Delong
Number of pages
83
Publication year
2001
Degree date
2001
School code
0186
Source
DAI-B 62/09, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9780493372211, 0493372210
Advisor
Barnett, Stanley M.
University/institution
University of Rhode Island
University location
United States -- Rhode Island
Degree
Ph.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
3025562
ProQuest document ID
276247158
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/276247158
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