| 一种高配准率的基于隔行隔列的序贯相似性检测算法 |
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| 引用本文：丁家琳.一种高配准率的基于隔行隔列的序贯相似性检测算法[J].计算技术与自动化,2018,(1):51-54 |
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| 中文摘要:运用信噪比峰值法、全局质量指标计算法、平均结构化相似度指标以及隔行隔列的序贯相似性检测算法对图像进行处理，再通过非线性过滤的方法对图片进行进一步的除杂。通过观察图像频谱中的噪声分布，根据噪声点的在频率域的分布情况，本文选用合适的滤波器来过滤图像中的噪声。通过实验结果对比，基于隔行隔列的序贯相似性检测算法能够有效的降低图像噪声，同时更好的提高了图像的准确度和清晰化效果。 |
| 中文关键词:视觉感觉模型 图片的差异值 图片的特征值分解 非线性处理 模板匹配 |
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| A High Rate of Registration of the Sequential Similarity Detection Algorithm Based on Interlaced Every Column |
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| Abstract:The paper deals with the images by using the method of peak signal-to-noise ratio, universe quality index, mean structure similarity index measure and sequential similarity detection algorithm based on interlaced every column. Then by the method of nonlinear clarification, we can purify the picture further. We should also observe the distribution of the noise in the frequency spectrum. According to the distribution of the noise point in the frequency spectrum, we can choose the proper filter to filter out the noise in the images. By comparison with the experimental results, the sequential similarity detection algorithm based on interlaced every column can effectively reduce the noise. At the same time, it can improve the accuracy of the image and get the better motivation effect. |
| keywords:visual perception model difference between the pictures singular value decomposition nonlinear processing matching model of the template. |
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