基于海底资源丰度的图像检索
IMAGE RETRIEVAL BASED ON SEABED RESOURCE ABUNDANCE
-
摘要: 提出了一种基于丰度的图像检索方法，在小波变换的基础上定义了边缘平均重复度来描述丰度，由此构成相似性度量的特征空间．依据这一研究结果，可快速对海底资源图像库进行丰度意义下的检索并形成资源分布图．最后，给出了对海底资源图像库进行检索的实验结果．Abstract: An image retrieval method is proposed based on abundance. Edge average repeatability is derived to represent abundance on the basis of wavelet transformation, which follows the similarity mesurement in feature space. The resource distribution map can be made rapidly by using the result of this research. Finally, the experimental result is given.
下载:
