CAJ | 학술논문

图像融合在目标识别、计算机视觉、医学、遥感图像处理等领域应用广泛．利用B样条梯度融合图像算法来解决图像融合，将融合的图像分成3×3予块，计算每个子块的B样务梯度．把待融合图像对应的子块梯度模值累加求和，计算每个子块梯度模值的权值并与每个子块相乘并求和，得到融合后的图像子块．模拟实验结果表明该方法是有效的，优于传统的主分量分析、小波变换和Laplacian金字塔等方法．
도상융합재목표식별、계산궤시각、의학、요감도상처리등영역응용엄범．이용B양조제도융합도상산법래해결도상융합，장융합적도상분성3×3여괴，계산매개자괴적B양무제도．파대융합도상대응적자괴제도모치루가구화，계산매개자괴제도모치적권치병여매개자괴상승병구화，득도융합후적도상자괴．모의실험결과표명해방법시유효적，우우전통적주분량분석、소파변환화Laplacian금자탑등방법．
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.