Abstract
AIM: Automatic measuring and quantitative analysis of form feature parameter of the liposome and emulsion image. METHODS: On the basis of analyzing the form feature of liposome, some algorithms, such as the logical algorithms of mathematical morphologic, the grayscale-gradient co-occurrence matrix-based method and the image enhancement method of grayscale image, were used to construct the parameter of extracting method and software. RESULTS: The noise is restrained effectively and the definition of image increases, implementing the automatic measuring of particle parameters. CONCLUSION: The analytical result of bipolysaccharide liposome and some emulsions indicate that the method can definitely increase the speed and precision of the measurement.
| Original language | English |
|---|---|
| Pages (from-to) | 609-612 |
| Number of pages | 4 |
| Journal | Yaoxue Xuebao |
| Volume | 35 |
| Issue number | 8 |
| State | Published - Aug 2000 |
| Externally published | Yes |
Keywords
- Form feature extraction
- Grayscale-gradient method and image enhancement
- Liposome
- Mathematical morphologic
Fingerprint
Dive into the research topics of 'Automatic quantitative analysis of images of liposome and emulsion'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver