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综合运用灰度变换方法改善超声医学图像质量 被引量:4

Improving the quality of medical ultrasonic image using the gray level transformation method
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摘要 分析了超声医学图像及其噪声干扰(speckle噪声),采用灰度变换的方法来改善超声医学图像的质量,介绍了灰度变换的基本原理,包括直接灰度变换和直方图变换2大类方法,对广泛应用且效果较好的直方图均衡和自适应直方图均衡方法作了较详细的阐述和算法介绍,针对超声医学图像应用灰度变换方法作了实验,实验证明,综合运用灰度变换方法能够很好地改善超声医学图像质量,增强超声诊断的实用性。 A medical ultrasonic image and its noise disturbance were analyzed; the gray transformation method was used to improve the quality of medical ultrasonic images. The basic theory of the gray transformation method was introduced,including direct gray transformation and the histogram transformation. The a histogram equalization and adaptive histogram equalization methods were presented, which are widely used and have good effect. The experiments prove, that the synthetic application of gray level transformation method can improve the quality of medical ultrasonic images substantially and enhance the practicability of the ultrasonic diagnosis.
作者 上官伟 李金
出处 《应用科技》 CAS 2005年第11期40-43,共4页 Applied Science and Technology
关键词 灰度变换 超声图像 Speckle噪声 直方图均衡 gray transformation ultrasonic image Speckle noise histogram equalization
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