Multi-focus Image Fusion Combined with CNN and Algebraic Multi-grid Method

• 作者: Gaofeng Mao Min Liu Yafei Ou Ying Huang
• 来源期刊: 国际计算机前沿大会会议论文集
• 学科: 社会科学
• 关键词: IMAGE SEGMENTATION IMAGE FUSION ALGEBRAIC multi-grid CLARITY Evaluation index
• 年，卷（期）: 2019,（2）
• 页码范围: 127-129
• 页数: 3页
• 分类号: C

摘要

The aim of the paper is to solve the problem of over-segmentation problem generated by Watershed segmentation algorithm or unstable clarity judgment by small areas in image fusion. A multi-focus image fusion algorithm is proposed based on CNN segmentation and algebraic multi-grid method (CNN-AMG). Firstly, the CNN segmentation result was utilized to instruct the merging process of the regions generated by the Watershed segmentation method. Then the clear regions were selected into the temporary fusion image and the final fusion process was performed according to the clarity evaluation index, which was computed with the algebraic multi-grid method (AMG). The experimental results show that the fused image quality obtained by the CNNAMG algorithm outperforms the traditional fusion methods such as DSIFT fusion method, CNN fusion method, ASR fusion method, GFF fusion method and so on with some evaluation indexes.