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陈焕平, 何明一, 刘卫华. 采用渐进像素提取和形态学检测的多聚焦图像融合[J]. 计算机辅助设计与图形学学报, 2011, 23(9): 1468-1473,1480.
引用本文: 陈焕平, 何明一, 刘卫华. 采用渐进像素提取和形态学检测的多聚焦图像融合[J]. 计算机辅助设计与图形学学报, 2011, 23(9): 1468-1473,1480.
Chen Huanping, He Mingyi, Liu Weihua. Multi-Focus Image Fusion Based on Progressive Pixel Extraction and Morphology[J]. Journal of Computer-Aided Design & Computer Graphics, 2011, 23(9): 1468-1473,1480.
Citation: Chen Huanping, He Mingyi, Liu Weihua. Multi-Focus Image Fusion Based on Progressive Pixel Extraction and Morphology[J]. Journal of Computer-Aided Design & Computer Graphics, 2011, 23(9): 1468-1473,1480.

采用渐进像素提取和形态学检测的多聚焦图像融合

Multi-Focus Image Fusion Based on Progressive Pixel Extraction and Morphology

  • 摘要: 针对某些源图像中局部配准不理想区域易产生人工副效应、块效应或错误提取的问题,经分析配准不理想区域对现有方法的制约,提出了一种融合方法.首先以源图像中清晰的边缘、轮廓为提取依据,以像素点为中心的邻域内高频系数绝对值和为提取条件,采用邻域由小到大渐进增长的策略对清晰像素点进行提取,较好地解决了精确提取与完全提取之间的矛盾;并引入形态学“8连接”图像处理方法对提取区域进行识别处理,进一步提高提取的正确率.经对局部配准不理想和理想源图像的2组实验结果表明,该方法不但很好地解决了局部配准不理想区域的融合难题,而且对配准理想的图像也有比其他方法更好的融合效果.

     

    Abstract: This paper proposes a novel method that addresses the problem of artifacts, block effects and wrong extractions in local non-registered regions of the existing multi-focus image fusion methods.The proposed method involves taking the strong edges as the extraction basis, and adopting the sum of all high frequency coefficients' absolute values in a neighborhood of the extracted location as the extraction measure.This method employs a progressive strategy to extract sharp pixels in accordance with a series of continually increased neighborhoods.As a result, the contradiction between precisely extracting sharp pixels and extracting all pixels is resolved.Moreover, the proposed method introduces the '8-connected objects' morphology method to distinguish the extracted areas.Two groups of experimental results of fusing multi-focus images, with and without local non-registered regions, demonstrate that the proposed method solves the difficult problem of fusing the local non-registered regions, and is superior to the existing methods in terms of visual effects and objective evaluation on registered source images fusion.

     

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