有效全身骨骼扫描图像增强方法的比较
摘要
系统的主要问题是产生的图像因大量噪声而退化。在这项工作中，我们希望使用四种不同的增强方法来增强全身骨
骼扫描图像，以减少图像中的噪声并提高分辨率，从而获得更好的图像质量并保持准确诊断的质量。使用直方图均衡、
自适应直方图均衡、对数变换和伽马校正算法来提高图像质量。使用伽马相机的四对骨骼扫描图像来执行这项工作。
通过计算峰值信噪比、均方误差和熵来量化和评估增强图像。结果表明，在用于增强骨骼图像的四种算法中，伽马
校正算法给出了最佳结果。伽马校正算法可以帮助放射科医生诊断患者，并准确快速地量化任何变化。
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