多尺度形态学的局部对比度增强优化算法
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摘要
为了解决灰度图像对比度低而难以增强目标区域的问题,对传统的局部对比度增强算法进行优化,提出了多尺度形态学的局部对比度增强优化算法。该算法利用多尺度形态学算子,对原有局部对比度拉伸算法进行改进,通过建立形态学塔形和差别塔型,最后重建图像,以实现局部目标对比度增强。实验结果表明,提出的算法可以很好地增强灰度图像目标区域的对比度,应用前景广泛。
In order to solve the problem that it is difficult to enhance the target region of the gray image with low contrast,this paper makes some improvements on the traditional local contrast enhancement algorithm,and puts forward an Optimization algorithm for local contrast enhancement based on multi-scale morphology. To realize the local contrast enhancement of the images,The algorithm uses the multi-scale morphological operators to improve the original local contrast stretching algorithm,establishes morphological and difference pyramid tower,and finally reconstructs the image. Experimental results indicate that the proposed algorithm can enhance the contrast of the target area of gray image very well and has a wide application prospect.
In order to solve the problem that it is difficult to enhance the target region of the gray image with low contrast,this paper makes some improvements on the traditional local contrast enhancement algorithm,and puts forward an Optimization algorithm for local contrast enhancement based on multi-scale morphology. To realize the local contrast enhancement of the images,The algorithm uses the multi-scale morphological operators to improve the original local contrast stretching algorithm,establishes morphological and difference pyramid tower,and finally reconstructs the image. Experimental results indicate that the proposed algorithm can enhance the contrast of the target area of gray image very well and has a wide application prospect.
引文
[1]李艳梅.图像增强的相关技术及应用研究[D].成都:电子科技大学,2013.
[2]完颜丹丹.红外图像对比度增强算法研究[D].洛阳:河南科技大学,2012.
[3]郑婷.基于人眼视觉感知图像对比度增强算法的研究[D].成都:电子科技大学,2016.
[4]尹士畅,喻松林.基于小波变换和直方图均衡的红外图像增强[J].激光与红外,2013,43(2):225-228.
[5]刘德全,崔涛,杨雅宁.局部对比度自适应直方图均衡化图像增强的算法研究[J].信息与电脑(理论版),2016,12(7):79-80.
[6]安静.基于数学形态学的图像增强算法及其应用[D].兰州:西北师范大学,2016.
[7]周启双.图像局部增强算法研究[D].荆州:长江大学,2016.
[8]闫海霞.基于数学形态学的图像边缘检测和增强算法的研究[D].长春:吉林大学,2009.
[9] SERRA J,SOILLE P. Image mathematical morphology and its applications to image processing[M].[S. l.]:Kluwer Academic Publishers,1994:28-41.
[10] SERRA J. Image analysis and mathematical morphology[M]. London:Academic Press,1982:61-80.
[11] CHAPMAN S J. MATLAB编程[M]. 4版.北京:科学出版社出版,2011:58-76.
[2]完颜丹丹.红外图像对比度增强算法研究[D].洛阳:河南科技大学,2012.
[3]郑婷.基于人眼视觉感知图像对比度增强算法的研究[D].成都:电子科技大学,2016.
[4]尹士畅,喻松林.基于小波变换和直方图均衡的红外图像增强[J].激光与红外,2013,43(2):225-228.
[5]刘德全,崔涛,杨雅宁.局部对比度自适应直方图均衡化图像增强的算法研究[J].信息与电脑(理论版),2016,12(7):79-80.
[6]安静.基于数学形态学的图像增强算法及其应用[D].兰州:西北师范大学,2016.
[7]周启双.图像局部增强算法研究[D].荆州:长江大学,2016.
[8]闫海霞.基于数学形态学的图像边缘检测和增强算法的研究[D].长春:吉林大学,2009.
[9] SERRA J,SOILLE P. Image mathematical morphology and its applications to image processing[M].[S. l.]:Kluwer Academic Publishers,1994:28-41.
[10] SERRA J. Image analysis and mathematical morphology[M]. London:Academic Press,1982:61-80.
[11] CHAPMAN S J. MATLAB编程[M]. 4版.北京:科学出版社出版,2011:58-76.