【摘要】 多聚焦图像融合技术在岩心影像分析中具有重要的应用价值，特别是在岩心影像呈现不同聚焦深度时将多张图像中的清晰部分有效融合，成为提升图像质量和信息提取精度的关键问题。提出了一种改进的多聚焦图像融合算法，结合传统的引导滤波方法，对聚焦区域的检测和决策图生成过程进行改进，通过引导滤波技术，能够在检测聚焦区域的同时优化图像细节保留和边缘平滑过渡。实验结果表明，改进后的算法在岩心影像的图像融合中能够有效提升图像的清晰度、边缘效果及细节表现。更多还原

【Abstract】 Multi-focus image fusion technology has significant application value in core image analysis,especially in effectively fusing the clear parts of multiple images when core images present different focusing depths. This a key issue in improving image quality and information extraction accuracy. The study proposes an improved multi-focus image fusion algorithm,combines with the traditional guided filtering method,improves the detection of the focus area and the generation process of the decision graph. Through guided filtering technology,it is possible to optimize image detail retention and smooth edge transition while detecting the focused area. The experimental results show that the improved algorithm can effectively enhance the clarity,edge effect and detail representation of core images in the image fusion of core images.更多还原