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基于点扩散函数的多聚焦图像融合方法
Multi-focus Image Fusion Method Based on Point Spread Functions
【摘要】 提出了一种新的基于点扩散函数的多聚焦图像融合算法,采用高斯函数对多聚焦图像进行多次卷积,通过与原近似误差图像的比较,得到聚焦清晰和模糊区域,采用形态学方法将其分割出来,并根据最大值融合规则对其进行了融合。试验结果表明,该算法可将图像分割成多个聚焦区域,边缘清晰、融合效果良好。
【Abstract】 This paper proposes a novel multi-focus image fusion method based on point spread functions(PSF).It uses Gaussian functions to convolve with multi-focused images repeatedly.Compared with approximation error images,it gets the focus and defocus regions,and segments the regions through morphological method.It uses choose-max fusion rules to get the all-in-focus image.Experimental results show that the image is distinctly segmented into multi-regions,the image edge is legible,and the fusion results are satisfactory.
【关键词】 点扩散函数;
误差图像;
图像融合;
形态学分割;
【Key words】 point spread functions(PSF); error image; image fusion; morphological segment;
【Key words】 point spread functions(PSF); error image; image fusion; morphological segment;
【基金】 国家自然科学基金资助项目(60472026)
- 【文献出处】 计算机工程 ,Computer Engineering , 编辑部邮箱 ,2007年19期
- 【分类号】TP391.41
- 【被引频次】16
- 【下载频次】500