吉首大学学报：自然科学版2012，Vol.33Issue(6)：61-65,5.
基于B样条梯度的融合图像算法
Gradient Image Fusion Algorithm Based on B-Spline
摘要
Abstract
Image fusion is widely used in target recognition, computer vision, medicine, remote sensing, im- age processing and many other fields. This paper proposes an image fusion method based on B-spline gra- dient. It first divides the source image into small blocks of 3 × 3 size, calculates separately the B-spline gradient for each sub-block,adds up the gradient modulus values,calculates the weight value of each sub- block gradient modulus value,multiplies each sub-block and respective weight value and obtains the fu- sion image sub-block. Simulation experiments and analysis show that this method is effective and has a better performance than traditional methods such as principal component analysis, wavelet transforma- tion and the Laplacian pyramid.关键词
B样条/图像融合/熵/梯度Key words
B-spline image fusion entropy gradient分类
信息技术与安全科学引用本文复制引用
刘军华,雷超阳..基于B样条梯度的融合图像算法[J].吉首大学学报：自然科学版,2012,33(6):61-65,5.基金项目
湖南省教育厅科学研究项目 （）
