基于视觉注意机制的可见光与红外图像融合算法研究
毕业论文关键词 视觉注意机制 可见光图像 红外图像 图像融合
Title Algorithm of visible and infrared images fusion based on visual attention mechanism
Abstract
Visual attention mechanism is that each person has inherent properties, with the help of visual attention mechanism, the human visual system can be selectively visual information processing, effectively solve the limited information processing resources and vast amounts of visual information between contradictions. The visual attention mechanism into image fusion can improve the efficiency of image processing. Therefore Fusion visible light and infrared images, it may present a controlled weight based on visual saliency fusion algorithm. At first，Gaussian pyramids feature maps of visible and infrared images of the same scene were computed，which were used to measure saliency. Next，focuses of attention extracted were equivalent to seed points，and salient regions were obtained through maximum entropy method.Finally，in image fusion phase，different salient regions obtained different weights according to saliency，and the fused image was obtained by weightedsun of different salient regions.The experimental results show that the algorithm can not only keep the salient information of visibleimage，but also obtain salient thermal target information of infrared image effectively.
Keywords visual attention mechanism；visible light image；infrared imagery；image fusion
目 录
1 引言 1
1.1 问题的提出 1
1.2研究的意义和应用 2
1.3国内外现状 2
1.3.1可见光与红外图像融合研究现状 2
1.3.2视觉注意机制研究现状 4
1.4 本文的研究内容和组织结构 4
2.预备知识储备 5
2.1图像融合知识 5
2.1.1像素级图像融合 5
2.1.2 特征级图像融合 5
2.1.3 决策级图像融合 6
2.2基于像素的图像融合算法 7
2.2.1加权平均法 7
2.2.2 主成分分析法 8
2.2.3 基于金字塔变换的图像融合法 10
2.2.4 基于小波变换的图像融合法 11
2.3本章小结 13
3.基于视觉注意机制的可见光与红外图像融合算法 13
3.1视觉注意的介绍 13
3.2视觉注意模型 13
3.2.1建立图像的高斯金字塔 14
3.2.2视觉特征提取 15
3.2.3显著性图的生成 16
3.3显著性区域 16
3.4可控权值融合策略 18
3.5实验结果与分析 19
3.6本章小结 20
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