Abstract
Correctly and effectively quantifying the clarity of microscopy mineral image is important and useful to produce clear image for mineral analysis. To well quantify the clarity of mineral image, an effective measure constructed using the sequentially combined toggle and top-hat based contrast operator is proposed in this article. First, the sequentially combined toggle and top-hat based contrast operator is used to extract the effective features which represent the clarity of mineral image. Second, the multiscale clarity features corresponding to each scale are extracted. Finally, after combining the multiscale clarity features in one feature image, the mean value of the feature image is constructed as the measure of mineral image clarity. Because the sequentially combined toggle and top-hat based contrast operator could effectively extract the clarity features, the clarity features are directly used as the measure of image clarity. Therefore, the proposed measure is effective and reasonable. The experimental results on different types of microscopy mineral images verified the effective performance of the proposed measure.
| Original language | English |
|---|---|
| Pages (from-to) | 811-817 |
| Number of pages | 7 |
| Journal | Microscopy Research and Technique |
| Volume | 76 |
| Issue number | 8 |
| DOIs | |
| State | Published - Aug 2013 |
Keywords
- Mathematical morphology
- Microscopy
- Mineral image clarity measure
- Morphological contrast operator
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