摘要
图像融合是将多幅图像的信息综合到一幅图像的技术,它使得融合后的图像包含更为准确、更为全面可靠的图像描述。为了改善传统医学图像融合算法对细节信息的丢失,采用提升小波的方式将源医学图像进行分解,并分别对高低频采用不同的融合规则,最后经小波逆变换得到目标图像。仿真实验结果表明,该算法是有效可行的。
Image fusion is the technology by which the information of multiple images is integrated into one image, which makes the fused image contain more accurate, more comprehensive and reliable image description. To improve the traditional medical image fusion algorithms losing of details, the source of medical images are decomposed by the way of lifting wavelet, and different fusion rules are utilized for high and low frequency weight respectively. Finally the target image is obtained by inverse wavelet transform. The simulation result proves that the algorithm is feasible and effective.
出处
《石家庄铁道大学学报（自然科学版）》
2010年第4期58-60,71,共4页
Journal of Shijiazhuang Tiedao University(Natural Science Edition)
关键词
图像融合
医学图像
提升小波
image fusion
medical image
lifting wavelet
