基于特征优化的激光医学图像检索

Laser Medicinal Image Retrieval Based on Features Optimization

激光医学图像检索一直是激光技术应用中的重点研究内容,在分析当前激光医学图像检索的现状基础上,提出一种基于特征优化的激光医学图像检索方法。首先对激光医学图像进行去噪处理,并提取出激光医学图像的颜色和纹理特征;然后利用和声搜索算法对提取的特征对进行优化,选择对检索结果有重要影响的关键特征;最后根据用户反馈结果对检索结果进行优化,得到激光医学图像检索结果。实验结果表明,本文方法提高了激光医学图像检索正确率,为激光医学图像检索研究提供了一条新的思路。

Laser medical image retrieval is a crucial content in laser technology application,based on the analysis the current situation of the laser medical image retrieval,this paper presents a laser medical image retrieval method based on feature optimization. First of all,laser medical images is denoised,and laser medical image color and texture features are extracted; secondly,the harmony search algorithm is used to optimize the features and select the key features which have an important impact on retrieval results,finally,retrieval results are optimized according to the user feedback and obtain laser medical image retrieval results. Experimental results show that the proposed method improves the accuracy of medical image retrieval,and provides a new way for the medical image retrieval.