摘要
针对无明显的直线特征的仓储害虫图像,提出了一种基于Radon变换算法定位图像区域和检测图像倾斜角度的方法。实验结果表明,该算法能快速、准确地测量出仓储害虫图像的倾斜角度,并具有很强的抗干扰性、应用适应性和抗随机噪声的特性。
According to the feature that the Stored-Grain Insects images haven＇t the obvious lines, a new skew detection method based on Radon Transformation was presented, using orientation projection to ascertain region and detect inclination angle. Experiment results show that the new method can measure out the slanting degree of the stored-grain insect＇s image efficiently and accurately with high noise endurance and application adaptability.
出处
《农机化研究》
北大核心
2007年第5期39-41,共3页
Journal of Agricultural Mechanization Research
基金
华中农业大学2004年度科技创新基金资助项目(52204-04077)
关键词
计算机应用
RADON变换
理论研究
仓储害虫
区域定位
倾斜角度
computer application
radon transformation
theoretical research
stored-grain insects
ascertain region
skew detection
