摘要
为弥补人眼分辨十字线的不足,建立了一种检测十字线套准的方法。运用FCM聚类算法在CIEL*a*b*色彩空间完成了十字线的分割,用形态学膨胀运算处理分割后的噪声点。提出了一种用像素投影确定十字线中心的简单可靠方法,并通过Hough变换确定了十字线的偏转角度。实验表明,该方法精度高,抗干扰性强,可满足工业需求。
A detection method of the crosslines overprinting accuracy is presented to compensate the shortage of hu- man eyes resolution. The crosslines are segmented in CLE L＊a＊b＊ color space by FCM algorithm and denoised by morphology dilation operation. A simple and reliable approach to determine the crossline center by pixels projection is proposed. The deflection angle of a crossline is computed through coordinate transformation.
出处
《计算机工程与应用》
CSCD
2012年第28期174-177,共4页
Computer Engineering and Applications
基金
江南大学物联网工程学院大学生科技创新基金(No.2011111805)
