摘要
针对基于元胞自动机图像边缘检测的原有算法,提出了新的改进算法。该算法采用基于方向信息测度与边缘有序性度量的多信息融合方法,利用模糊逻辑对特征信息进行模糊推理,利用推理结果对上一时刻特征信息进行模糊反馈处理,最终通过元胞自动机的自动演化工程得到图像边缘。试验表明,算法边缘检测的准确度高,检测模糊边缘和细节边缘的能力较强,是一种实用、高效的图像处理算法。
A new improved edge detection algorithm of images based on cellular automata is presented. This method uses direction information measure and edge order measure as edge characteristic information, uses fuzzy logic to infer these information, processes inference results by anti-fuzzy, gives feedback information to.direction information measure matrix, and detects edge by automatic evolution of cellular automata. Finally, experiments are put forward, this algorithm has powerful ability in the detection of fuzzy edge and exiguous edge, and it is a promising and practicable image processing algorithm.
出处
《北京联合大学学报》
CAS
2008年第3期49-54,共6页
Journal of Beijing Union University
基金
华北电力大学青年教师科研基金项目(QN200711005)
