基于灰度的环形块匹配算法

Gray-based ring block image matching algorithm

为了实现从补块数据库中找出与去除缺陷的板材相匹配的补块,提出了基于灰度的环形块匹配算法。从去除缺陷的板材从中选取一窄圆环,并将其等分为几个小块,按顺时针对各小块进行编号,计算出各环形小块的平均灰度值,用各小块的平均灰度值代替单个元素进行匹配,降低了噪声的影响,增强了算法的抗干扰能力,提高了算法的实时性。实验结果表明,运用这一算法能快速而有效地找到最佳匹配补块及匹配位置,验证了该算法的可行性,为缺陷修补的机械加工提供了依据。

Aiming at finding out the patching which matching the plate with the remove-defect ones from the database,the ring block matching algorithm based on gray-scale was proposed.A narrow circular ring was selected from the plates which has removed defects.And it was divided into several small rings.The rings were numbered by clockwise.The average gray value of each pieces were calculated for matching instead of individual elements.That reduces the effect of noise,enhances anti-jamming capability of the algorithm and improves real-time algorithm.The experimental results indicate that use of this algorithm can quickly and efficiently find the best matching and match position.The feasibility of this algorithm is verified and a basis for machining detects repair is provided.