河南理工大学学报（自然科学版）2013，Vol.32Issue(1)：73-75,84,4.
基于图像分块目标区域的检索技术研究
Image retrieval based on block object region
摘要
Abstract
In order to solve the question of the lack of the visual information in image retrieval, an effective and new algorithms is introduced. Firstly, the human visual feature is considered, and the bit-plane image is a-chieved by binary according to the principle of the block truncation code ( BTC). Based on this, the background region and object region is extracted. For introducing the spatial information, the circle distributing histogram is achieved. Not only the color but also significant visual information and spatial information is taken into account. Experiments show that the proposed method has robust retrieval performance.关键词
基于内容的图像检索(CBIR)/方块编码/目标区域/空间分布Key words
content-based image retrieval/ block truncation code/ object region/spatial distribution分类
信息技术与安全科学引用本文复制引用
海林鹏,文运平..基于图像分块目标区域的检索技术研究[J].河南理工大学学报（自然科学版）,2013,32(1):73-75,84,4.基金项目
教育部科学技术研究重点项目(210128). （210128）
