摘要
提出了一种基于特征融合的图像检索方法。利用图像的HSV直方图特征建立图像颜色直方图,并采用直方图二次式距离公式取得图像相似性度量值;利用图像的纹理特征建立256维的LBP特征向量,并利用欧式距离取得相似性度量值;通过两特征融合的方法取得图像检索中关键图和检索图之间的相似度值,使得检索取得更好的效果。实验表明,在查准率和查全率性能上,本方法优于以单一特征的图像检索方法。
A retrieval method base on feature fusion is proposed. To use the/mage histogram features create an image HSV color histogram, and to obtain Image similarity measure by using the histogram quadratic distance formula; And to use establishment of the texture features of image 256 LBP-dimensional feature vector,and to obtained Image similarity measure by using Euclidean distance; To obtain the image similarity value between Key Figure and Search map based on feature fusion,Make the search for better results. Experiments show that, on the precision and recall performance, This method is better than a single image retrieval method.
出处
《电脑与信息技术》
2011年第5期15-17,21,共4页
Computer and Information Technology
