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| 一种自适应PCNN多聚焦图像融合新方法 | |
| 引用本文： | 苗启广,王宝树.一种自适应PCNN多聚焦图像融合新方法[J].电子与信息学报,2006,28(3):466-470. |
| 作者姓名： | 苗启广 王宝树 |
| 作者单位： | 1. 西安电子科技大学计算机学院,西安,710071;桂林电子工业学院,桂林,541004 2. 西安电子科技大学计算机学院,西安,710071 |
| 摘 要： | 该文通过分析脉冲耦合神经网络(PCNN)参数模型，结合多聚焦图像的基本特点和人眼视觉特性，提出了一种自适应PCNN多聚焦图像融合的新方法。该方法使用图像逐像素的清晰度作为PCNN对应神经元的链接强度，经过PCNN点火获得每幅参与融合图像的点火映射图，再通过判决选择算子，判定并选择各参与融合图像中的清晰部分生成融合图像。该方法中，其它参数如阈值调整常量等对于融合结果影响很小，解决了PCNN方法的参数调整困难的问题。实验结果表明，该方法的融合效果优于小波变换方法和Laplace塔型方法。 |
| 关 键 词： | 图像融合 脉冲耦合神经网络 清晰度 链接强度 点火映射图 |
| 文章编号： | 1009-5896（2006）03-0466-05 |
| 收稿时间： | 2004-08-20 |
| 修稿时间： | 2005-03-14 |
A Novel Algorithm of Multi-focus Image Fusion Using Adaptive PCNN |
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| Miao Qi-guang,Wang Bao-shu.A Novel Algorithm of Multi-focus Image Fusion Using Adaptive PCNN[J].Journal of Electronics & Information Technology,2006,28(3):466-470. | |
| Authors: | Miao Qi-guang Wang Bao-shu |
| Affiliation: | School of Computer Science, Xidian University, Xi’an 710071, China; Guilin University of Electronic Technology, Guilin 541004, China |
| Abstract: | The proposed new fusion algorithm is based on the improved Pulse Coupled Neural network(PCNN) model, the fundamental characteristics of multi-focus images and the properties of human vision system. Compared with the traditional algorithm where the linking strength of each neuron is the same and its value is chosen through experimentation, this algorithm uses the sharpness of each pixel as its value, so that the linking strength of each pixel can be chosen adaptively. After the processing of PCNN with the adaptive linking strength, new fire mapping images are obtained for each image taking part in the fusion. The clear objects of each original image are decided by the compare-selection operator with the fire mapping images pixel by pixel and then all of them are merged into a new clear image. Furthermore, by this algorithm, other parameters, for example, A , the threshold adjusting constant, only have a slight effect on the new fused image. It therefore overcomes the difficulty in adjusting parameters in PCNN. Experiments show that the proposed algorithm works better in preserving the edge and texture information than the wavelet transform method and the Laplacian pyramid method do in multi-focus image fusion. |
| Keywords: | Image fusion Pulse-Coupled Neural Network(PCNN) Sharpness Linking strength Fire mapping image |
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