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| 图像清晰度评价函数的研究 |
| Study on image definition evaluation function |
| 投稿时间:2018-07-31 |
| DOI:10.3969/j.issn.1005-5630.2019.04.009 |
| 中文关键词: 清晰度评价 抗噪性 单峰性 |
| 英文关键词:image definition evaluation function noise resistance unimodality |
| 基金项目: |
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| 摘要点击次数: 2970 |
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| 中文摘要: |
| 为了实现更为高效、准确的光纤端面自动对焦,对现有图像的清晰度评价函数进行了研究,并在此基础上,提出了一种新的计算简便、抗噪性好的清晰度评价函数。采用光纤几何参数测试仪获得光纤端面清晰成像面前后等间隔的24帧光纤端面图像,利用不同的图像清晰度评价函数对这24帧图像进行计算,得到相应的调焦曲线并分析其单峰性、单调性和抗噪性。结果显示,所提的新评价函数具有更好的表现,对自动对焦技术具有一定的参考价值。 |
| 英文摘要: |
| In order to realize more efficient and accurate automatic focusing of optical fiber end face, the definition evaluation function of existing images is studied. On the basis of this, a new definition evaluation function with simple calculation and good anti-noise is proposed. An optical fiber geometry measurement system is used to obtain 24 frames of equally spaced optical fiber end-face image. Different image definition evaluation functions are used to calculate the 24 frames of images. The corresponding focusing curves are obtained and their monomorphism, monotonicity and anti-noise are analyzed. The results show that the proposed evaluation function has better performance and has certain reference value for automatic focusing technology. |
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