眼底图像多尺度去噪算法的效果评价Effect Evaluation of De-noising Algorithm for fundus Images Based on Multi-scale
何连连;曹晓丽;
摘要(Abstract):
临床中,获得清晰的眼底图像信息是准确诊断相关病情的先决条件。针对实际图像,本文分别采用多尺度去噪算法和中值滤波算法对眼底图像进行去噪处理;并给出基于高斯波形提取的LMLSD算法,估算处理后图像的SNR(信噪比),对两种去噪算法的处理效果进行客观的量化评价。结果表明,多尺度去噪算法对各幅图像提高SNR平均约2.56倍,且图像更加清晰;中值算法提高约1.92倍。客观量化评价结果与主观视觉感受一致,评价算法选用合适。
关键词(KeyWords): 图像质量评价;多尺度;信噪比;高斯波形
基金项目(Foundation):
作者(Author): 何连连;曹晓丽;
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参考文献(References):
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