Abstract
Frequently encountered problems on bilevel thresholding of floc images include information loss during the image conversion stage, sampling bias owing to spatially inhomogeneous luminous flux over an optical microscope image or among a series of images, thresholding error adopting various algorithms, and resampling errors during three-dimensional reconstruction. Among these steps the choice of thresholding algorithm could yield most of the processing error. Ways to reduce the potential processing errors are discussed. © 2004 Elsevier Inc. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 483-489 |
| Journal | Journal of Colloid and Interface Science |
| Volume | 273 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 15 May 2004 |
| Externally published | Yes |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Research Keywords
- Algorithm
- Errors
- Floc
- Image
- Thresholding
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