摘要
将SPECT和CT图像进行融合,可以使功能和解剖影像相互取长补短,有利于临床医生的有效诊断。而CT图像是灰度图像,SPECT图像是伪彩图像,二者的融合处理具有一定难度。文章首先将SPECT图像变换成HSV彩色格式,然后再提取其中的V分量与CT图像做融合处理,利用训练好的支持向量决定融合图像对于源图像信息选取的多少来取得理想的融合效果。
The SPECT and CT image are fused, functional and anatomical image be mutually complementary, which lead the accurate diagnosis. The CT image is gray, SPECT image is pseudo color, and have some difficulty with fusion the two. This paper first will SPECT images converted into HSV color format, and then extract V from HSV image and CT image fused. Trained by support vector the decision to the fusion images select how much information from the source images, and the algorithm reaches a perfect effectiveness.
出处
《电脑与信息技术》
2008年第6期5-6,42,共3页
Computer and Information Technology
