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基于局部显著区域的自然场景识别
引用本文:王璐,陆筱霞,蔡自兴.基于局部显著区域的自然场景识别[J].中国图象图形学报,2008,13(8):1594-1616.
作者姓名:王璐  陆筱霞  蔡自兴
作者单位:中原工学院计算机学院,中南大学信息科学与工程学院智能所
摘    要:场景识别是移动机器人实现拓扑导航的关键。针对未知环境,提出一种基于视觉局部显著区域的自然场景识别方法。首先,提出带反馈的显著性检测模型(FSDM)自底向上进行图像分析;然后,根据显著位置,基于分形实现自动尺度选择,以构造合适尺寸的局部显著区域。对场景图像中的显著区域采用梯度方向、二阶不变矩、归一化色调3种特征进行不变性表示,并根据其匹配率实现场景识别。实验结果表明,FSDM具有较高的显著性检测精度。而且室内室外环境的多次场景识别实验也表明,该方法与全局外观方法相比能够更好地容忍尺度、视角等变化引起的差异,静态场景识别具有较高的准确性。

关 键 词:场景识别  局部显著区域  带反馈的显著性检测模型  尺度选择  分形维数
收稿时间:2008/4/10 0:00:00
修稿时间:5/5/2008 12:00:00 AM

Local Salient Regions Based Natural Scene Recognition
WANG Lu,LU Xiao xi,CAI Zi xing,WANG Lu,LU Xiao xi,CAI Zi xing and WANG Lu,LU Xiao xi,CAI Zi xing.Local Salient Regions Based Natural Scene Recognition[J].Journal of Image and Graphics,2008,13(8):1594-1616.
Authors:WANG Lu  LU Xiao xi  CAI Zi xing  WANG Lu  LU Xiao xi  CAI Zi xing and WANG Lu  LU Xiao xi  CAI Zi xing
Affiliation:(School of Computer Science, Zhongyuan University of Technology, Zhengzhou 450007) (Center of Intelligent System and Software, School of Information Science and Engineering, Central South University, Changsha 410083)
Abstract:Scene recognition is a key problem in mobile robot topological navigation. For unknown environments, a natural scene recognition approach based on visual local salient regions is presented. Firstly, a feedback saliency detection model (FSDM) is presented to carry out bottom up scene image analysis. Then, according to the salient positions, automatic scale selection is realized based on fractal dimension to build the local salient regions with appropriate size. Those salient regions are represented by 3 invariant features of gradient orientation, moment and canonical hue. They are used for scene recognition in terms of their match ratio. Experiments show that FSDM can obtain higher accuracy. The scene recognition experiments in both indoor and outdoor environments show that the approach has high stability and tolerance compared to the method based on global appearance when scale and viewpoint etc changed. The accuracy of recognition for static scene is higher.
Keywords:scene recognition  local salient regions  FSDM (feedback saliency detechion model)  scale selection  fractal dimension
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