红外与毫米波学报2009，Vol.28Issue(4)：293-297,5.
基于多特征图像显著目标的自动识别
AUTOMATIC IDENTIFICATION OF SALIENT OBJECT BASED ON MULTI-FEATURES IMAGES
摘要
Abstract
Many existing detecting algorithms of salient object mostly depend on the relationship between the pixels and lack the comprehension of salient object features.An unsupervised algorithm for automatically extracting the interesting object was presented.Firstly, the junior feature was extracted as basic elements of salient object by using a multiscale Gabor model with bionics characteristics.Then by combining with the understanding knowledge of the salient object, the local feature of image was defined and the salient regions was further located.Finally, a novel extracting scheme based on fuzzy threshold approach was proposed, and was used in the conspicuity map integrated by the junior and local features to locate the salient object.By applying the algorithm to various images of simulation experiments, the satisfying results were obtained.The results show that the algorithm is feasible.关键词
显著目标/伽柏滤波器/差异率/模糊阈值Key words
salient object/Gabor filter/difference ratio/fuzzy threshold分类
信息技术与安全科学引用本文复制引用
片兆宇,孟祥萍,舒英利..基于多特征图像显著目标的自动识别[J].红外与毫米波学报,2009,28(4):293-297,5.基金项目
吉林省科技发展计划(20080414-1)资助项目 （20080414-1）
