南京大学学报（自然科学版）2013，Vol.49Issue(1)：101-108,8.
基于视觉注意和模糊区域生长的图像检索
Image retrieval based on visual attention and fuzzy regions growing
摘要
Abstract
Visual attention reflects custom understanding of focused object in image scene. Because of this mechanism, an image retrieval algorithm based on visual attention regions is proposed. Firstly, a saliency map is computed by improved visual attention model. Then, according to the segmentation result, a saliency region fuzzy growing algorithm based on degree of membership is proposed to obtain object region by merging similar regions, so as to extract color and texture features. Finally, a combination of degree of membership and region adjacency graphs (RAG) strategy is designed to similarity measure. Experimental results show that proposed algorithm represent custom's query semantic effectively, and achieve satisfying retrieval performance.关键词
基于内容图像检索/视觉注意模型/显著图/模糊生长Key words
content-based image retrieval, visual attention model, saliency map, fuzzy growing引用本文复制引用
吴梦麟,孙权森..基于视觉注意和模糊区域生长的图像检索[J].南京大学学报（自然科学版）,2013,49(1):101-108,8.基金项目
国家自然科学基金(61273251),江苏省自然科学基金(BK2008411) （61273251）
