Adaptive unsharp masking method based on region segmentation

YANG Ci-yin; SHANG Hai-bo; JIA Chen-guang; HUANG Lian-qing

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Adaptive unsharp masking method based on region segmentation

更新时间：2020-08-12

- Adaptive unsharp masking method based on region segmentation
- Optics and Precision Engineering Vol. 11, Issue 2, Pages: 188-192(2003)
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所, 吉林, 长春, 130022
  2. 海军装备部, 沈阳军代表局, 辽宁, 沈阳, 110031
- 作者简介：
- 基金信息：
- DOI：
  CLC： O438
- Received：17 October 2002，
  
  Revised：19 March 2003，
  
  Published Online：15 April 2003，
  
  Published：15 April 2003
- 稿件说明：
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杨词银, 尚海波, 贾晨光, 黄廉卿. 基于区域分割的自适应反锐化掩模算法[J]. 光学精密工程, 2003,(2): 188-192

YANG Ci-yin, SHANG Hai-bo, JIA Chen-guang, HUANG Lian-qing. Adaptive unsharp masking method based on region segmentation[J]. Editorial Office of Optics and Precision Engineering, 2003,(2): 188-192
杨词银, 尚海波, 贾晨光, 黄廉卿. 基于区域分割的自适应反锐化掩模算法[J]. 光学精密工程, 2003,(2): 188-192 DOI：

YANG Ci-yin, SHANG Hai-bo, JIA Chen-guang, HUANG Lian-qing. Adaptive unsharp masking method based on region segmentation[J]. Editorial Office of Optics and Precision Engineering, 2003,(2): 188-192 DOI：

摘要

针对线性反锐化掩模法的缺点

提出一种基于区域分割的自适应反锐化掩模法

利用像素局部方差将输入图像划分为平滑区、中等对比度区和高对比度区

根据像素(

)所属的区域类型

自适应确定其局部灰阶变化率增益系数α(

)及期望的输出局部灰阶变化率H

(

)

并导出增强系数K(

)。对一幅胸片图像进行处理

并与其它几种反锐化掩模法的处理结果进行比较

结果显示该方法获得较好的边缘增强效果

且有较强的噪声抑制能力。

Abstract

A adaptive unsharp masking method based on region segmentation is presented aiming at the defects of linear unsharp masking. The input image is divided into homogeneous areas

medium contrast areas and large contrast areas by the local variance of image pixels. Base on the area type to which image pixel (

) belongs

the local activity gain factor α(

) and the desired output local activity

(

) are determined adaptively

and the enhancement factor K(

) is derived. A X-ray chest image is processed with the proposed method and other unsharp masking methods. The results show that good capabilities of edge enhancing and noise suppressing are achieved by the proposed method.

关键词

Keywords

references

祁吉,高野正雄.计算机X线摄影[M].北京:人民卫生出版社,1997.18-20.QI J, GAO Y ZH X. Compterized radiography[M]. Beijing: People health publishing house, 1997. 18-20.(in Chinese)

刘恒殊,黄廉卿.基于模糊集理论的医学CR图像增强[J]. 光学精密工程,2002,10(1): 94-97.LIU H SH, HUANG L Q. Processing method of CR image based on fuzzy set theory[J]. Optics and Precision Engineering, 2002, 10(1): 94-97.(in Chinese)

VRIES DE F P. Automatic,Adaptive,brightness independent contrast enhancement[J]. Signal Process, 1990,21(10):169-182.

MITRA S K, LI H. A new class of nonlinear filters for image enhancement[A]. Proc IEEE Int Conf Acoustics Speech Signal Processing[C].Toronto,Ont,Canada,1991.2525-2528.

RAMPONI G, STROBEL N, MITRA S K,et al. Nonlinear unsharp masking methods for image contrast enhancement[J]. J Electron Imag, 1996,5(7):353-366.

RAMPONI G. A cubic unsharp masking technique for contrast enhancement[J]. Signal Process,1998,67(6):211-222.

RAMPONI G. A simple cubic operator for sharpening an image[A].Proc IEEE Workshop on Nonlinear Signal and Image Processing[C].Neos Marmaras, Greece,1995.302-307

SEZAN I M, TEKALP M A. Automatic anatomically selective image enhancement in digital chest radiography[J]. IEEE Transactions on Medical Imaging, 1989,8(2): 154-162.

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