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Range limited adaptive brightness preserving multi-threshold histogram equalization algorithm

XU Hong-lie KUANG Cheng ZHANG Le LI Sha WANG Shu-jun TANG Zheng LI Lin-na

许轰烈, 匡程, 张乐, 李莎, 王树军, 汤峥, 李琳娜. 范围限制的自适应亮度保持多阈值直方图均衡算法研究[J]. 中国光学(中英文), 2017, 10(6): 726-736. doi: 10.3788/CO.20171006.0726
引用本文: 许轰烈, 匡程, 张乐, 李莎, 王树军, 汤峥, 李琳娜. 范围限制的自适应亮度保持多阈值直方图均衡算法研究[J]. 中国光学(中英文), 2017, 10(6): 726-736. doi: 10.3788/CO.20171006.0726
XU Hong-lie, KUANG Cheng, ZHANG Le, LI Sha, WANG Shu-jun, TANG Zheng, LI Lin-na. Range limited adaptive brightness preserving multi-threshold histogram equalization algorithm[J]. Chinese Optics, 2017, 10(6): 726-736. doi: 10.3788/CO.20171006.0726
Citation: XU Hong-lie, KUANG Cheng, ZHANG Le, LI Sha, WANG Shu-jun, TANG Zheng, LI Lin-na. Range limited adaptive brightness preserving multi-threshold histogram equalization algorithm[J]. Chinese Optics, 2017, 10(6): 726-736. doi: 10.3788/CO.20171006.0726

范围限制的自适应亮度保持多阈值直方图均衡算法研究

基金项目: 

江苏省高校自然科学研究面上项目 17KJD140002

无锡太湖学院自然科学基金 16WUNS005

详细信息
    作者简介:

    许轰烈(1986-), 男, 江苏无锡人, 博士, 主要从事数字图像处理、红外成像系统设计、数字视频技术等方面的研究

    通讯作者:

    许轰烈, E-mail:xhl1192008@hotmail.com

  • 中图分类号: TP391.41

Range limited adaptive brightness preserving multi-threshold histogram equalization algorithm

doi: 10.3788/CO.20171006.0726
Funds: 

Natural Science Found Project of Jiangsu Province 17KJD140002

Natural Science Project of Taihu University of Wuxi 16WUNS005

More Information
  • 摘要: 针对目前直方图均衡算法难以实现,且易造成亮度饱和等问题,本文提出了一种范围限制的自适应亮度保持多阈值直方图均衡算法。首先,对输入图像进行适当平滑,从而获得它的直方图峰值点个数(N+1)。然后,对Otsu算法进行N阈值扩展,并通过这种方法获得图像的N个分割阈值,从而按照此阈值对图像进行分割。为了能够最大程度地保持输入图像的亮度,利用输入图像和输出图像的均值亮度最小误差(AMBE)准则,重新计算了图像的均衡范围。最后,利用新的均衡范围分别对每一个子图像进行均衡。实验表明,使用本算法处理Lena图的绝对均值亮度误差为0.416 4,明显优于使用RLBHE算法的0.629 5。本算法能够获得更清晰的图像细节,同时图像的整体亮度保持的也较好。

     

  • Figure 1.  (a) Original image of Lena. (b)Comparison of the original histogram and the smoothed one of Fig. 1(a)

    Figure 2.  (a) Original image of Lena. (b), (c)Separation results using the single threshold Otsu′s method. (d)Location of threshold using the single threshold Otsu′s method

    Figure 4.  (a) Original image of Lena.(b)~(f)Separation results using the N-threshold Otsu′s method

    Figure 3.  (a) Original image of Lena. (b)Location of thresholds using the N-threshold Otsu′s method

    Figure 5.  (a) Original image of Lena.(b)Result of GHE.(c) Result of RLBHE.(d) Result of RLAMHE

    Figure 6.  (a) Original image of House.(b)Result of GHE.(c) Result of RLBHE.(d) Result of RLAMHE

    Figure 7.  (a) Original image of Airplane U2.(b)Result of GHE.(c) Result of RLBHE.(d) Result of RLAMHE

    Table  1.   The resulting AMBE for GHE, RLBHE and RLAMHE

    GHE RLBHE RLAMHE
    Lena 3.250 1 0.629 5 0.414 6
    House 70.008 8 7.116 6 2.954 2
    AirplaneU2 94.997 9 5.963 2 1.339 8
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出版历程
  • 收稿日期:  2017-06-11
  • 修回日期:  2017-08-13
  • 刊出日期:  2017-12-01

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