计算机工程与科学2012，Vol.34Issue(9)：83-87,5.DOI:10.3969/j.issn.1007-130X.2012.09.015
基于生物视觉特性的红外与可见光图像融合方法
Biological Visual Characteristic Based Infrared and Visible Image Fusion Scheme
摘要
Abstract
The Pulse Coupled Neural Network (PCNN) model of the cat visual cortex has proven to have interesting properties in image processing,including segmentation,target recognition et al. This paper proposes a multisensor image fusion scheme based on the modified PCNN. Focusing on the famous difficult problem of PCNN and how to determine PCNN parameters adaptively,this paper brings forward an adaptive PCNN parameters determination algorithm based on water area. Experimental results demonstrate that the proposed fusion scheme outperforms the multiscale decomposition based fusion approaches, both in visual effect and objective evaluation criteria. The research fruits have certain value on the theory research and practical application of PCNN.关键词
多传感器图像融合/脉冲耦合神经网络/参数设定/客观评价准则Key words
multisensor image fusion/ pulse-coupled neural network (PCNN)/ parameter determination objective evaluation criteria分类
信息技术与安全科学引用本文复制引用
李敏,蔡伟..基于生物视觉特性的红外与可见光图像融合方法[J].计算机工程与科学,2012,34(9):83-87,5.基金项目
国家自然科学基金资助项目(61102170) （61102170）
