基于颜色特征的自然保护区图像筛选系统

Image Filtering System for Natural Reserves Based on Color Features

为了解决自然保护区动物图像筛选工作量大与效率低的问题,在分析自然保护区采集的图像特点的基础上,设计并实现一种基于颜色特征的图像筛选系统。该系统对图像进行分割,提取图像的整体颜色特征和局部颜色特征,采用陆地移动距离算法(Earth Mover’s Distance,EMD)将待筛选图像同已筛选图像进行匹配,根据匹配结果判断图像中是否有动物,将无动物的图像筛选掉,从而减少工作量。以某自然保护区的若干采集点拍摄的图像为例,实验结果表明与人工筛选图像相比,该系统能够减少约1/3的工作量,提高了工作效率。

To solve the problem of heavy workload and low efficiency when filtering images of natural reserves, on the basis of analyzing the characteristics of the collected images of natural reserves, an image filtering system based on color features is designed and implemented. Images are segmented, global color features and local color features are extracted by the system, and earth mover＇s distance （EMD） is adopted to match pending images with filtered images. After judging the images according to the matching results, the images without animals are removed, thus reducing workload. By filtering the images collected at several collection points in a certain natural reserve, it is verified that the system can effectively reduce about one third of the workload of manual image filtering, and results in higher work efficiency.