摘要
利用人造物体与背景景物存在的纹理差异提出一种基于纹理感知的目标检测方法。该方法利用灰度共生矩阵计算景物的纹理特征,对物体的强度、方向和纹理特征进行非线性融合,突出纹理粗糙度弱的人造物体并抑制纹理粗糙度强的背景。理论分析和实验结果表明,该模型融入了纹理粗糙度和相似性等特征来组织目标,提高了目标检测性能。
A method for detecting man-made target based on texture perception was proposed, which made use of the texture difference between man-made object and natural scene. Firstly, the feature parameters about texture were extracted by grey level co-occurrence matrix, and then the texture feature was estimated by combing the above extracted parameters. Secondly, texture, brightness and direction were used to build spatial salient map by nonlinear feature fusion, and it could enhance the man-made object with weak texture roughness and suppress the background with strong texture roughness. Some experimental results were included, and it showed that the method can accurately detect target against complex background.
出处
《弹箭与制导学报》
CSCD
北大核心
2011年第1期170-172,共3页
Journal of Projectiles,Rockets,Missiles and Guidance
基金
教育部高等学校博士点基金(20070611013)
重庆文理学院科研项目(Z2008WX20)
重庆大学研究生科研创新基金(200911A1A0030319)
重庆大学大学生科研训练计划资助
关键词
目标检测
视觉感知
空间显著图
纹理分析
灰度共生矩阵
target detection
visual perception
spatial saliency map
texture analysis
grey level co-occurrence matrix
