| 张甲杰,陈树越,刘瑞剑,杨敏.基于多尺度Retinex的医学图像增强方法研究[J].中国医学影像技术,2007,23(11):1724~1726 |
| 基于多尺度Retinex的医学图像增强方法研究 |
| Enhancement of medical images based multi-scale Retinex |
| 投稿时间：2007-05-09 修订日期：2007-07-20 |
| DOI： |
| 中文关键词: Retinex 医学图像 图像增强 动态范围压缩 |
| 英文关键词:Retinex Medical images Image enhancement Dynamic range compression |
| 基金项目: |
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| 摘要点击次数: 2423 |
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| 中文摘要: |
| 目的 增强医学图像中的暗区信息和图像对比度,压缩医学图像的动态范围。方法 提出并改进了基于多尺度Retinex方法的医学图像增强处理方法,在3种标准偏差下,求得高斯环境函数;然后使用3种不同的误差函数对医学图像进行卷积操作,将3种标准偏差尺度下得到的结果进行加权平均;最后将输出灰度值进行修正,得到可用于显示的结果。结果 改进的MSR算法既可实现低对比度的医学图像增强,又能实现图像的动态范围压缩,能够显著提高暗区医学图像的信息。结论 改进MSR算法能够显著提高暗区图像的信息量,其增强后的信息熵是原图像的2倍多,该方法克服了常规医学增强方法的不足,能够满足医生临床诊断的要求。 |
| 英文摘要: |
| Objective To enhance the information of hidden area of medical images and image contrast, and compress the dynamic range. Methods An improved enhancement algorithm of medical images based on multi-scale Retinex was presented. The three different Gaussian filter coefficients under three different deviations were calculated, and the convolution operation was implemented between the image distribution and Gaussian filters. Weighted average of multi-scale was gained and mapped to gray range of display device. Results With this improved method, image contrast enhancement, sharpening and dynamic range compression were achieved at the same time. The information of hidden area of images was obviously enhanced. Conclusion Improved MSR can observably improve entropy of medical images, and also overcome the lack of enhancement of traditional Methods and satisfy the clinic demand. |
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