Image Processing Center, Beijing University of Aeronautics and Astronautics, Beijing, China.
Microsc Res Tech. 2013 Aug;76(8):811-7. doi: 10.1002/jemt.22233. Epub 2013 Jun 3.
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.
正确有效地量化显微镜矿物图像的清晰度对于生成清晰的矿物分析图像非常重要和有用。为了很好地量化矿物图像的清晰度,本文提出了一种使用顺序组合的toggle 和 top-hat 对比度算子构建的有效度量方法。首先,使用顺序组合的 toggle 和 top-hat 对比度算子提取有效特征,这些特征代表矿物图像的清晰度。其次,提取每个尺度对应的多尺度清晰度特征。最后,将多尺度清晰度特征组合在一个特征图像中,然后构建特征图像的平均值作为矿物图像清晰度的度量。由于顺序组合的 toggle 和 top-hat 对比度算子可以有效地提取清晰度特征,因此直接将清晰度特征用作图像清晰度的度量。因此,所提出的度量方法是有效和合理的。在不同类型的显微镜矿物图像上的实验结果验证了所提出的度量方法的有效性。