摘要
针对医学图像检索问题,提出了一种结合Gabor滤波器和相关反馈的医学图像检索算法.首先,采用Gabor滤波器的方法对医学图像进行纹理特征提取,计算图像相似度;然后,利用相关反馈技术调整图像之间的相似度,改善图像检索过程中的人机交互性能.实验表明,通过相关反馈,该方法有效地提高了检索结果的查准率、查全率.
For the problem of medical image retrievalt,he technology of medical image retrieval based on the Gabor filter and relevance feedback was proposed.Using the method of Gabor filter texture feature can be extracted firstlyt,hen the similarity calculated between the two images was adjusted by the technology of relevance feedback to improve the performance of human-computer interaction in the image retrieval.Experiments show that this method can effectively improve the recall ratio and precision ratio in the retrieval result by the relevance feedback.
出处
《天津科技大学学报》
CAS
2010年第4期60-63,共4页
Journal of Tianjin University of Science & Technology
基金
天津市科技支撑计划重点资助项目(08ZCKFGX00600)
