摘要
对铜箔基板生产过程中产生的疵点进行了有效的识别与分类。采用图像二值化分析及边缘检测方法进行疵点图像的预处理 ,并应用链码跟踪方法得到链码表及边缘点坐标表 ,从而计算出疵点的各类形态特征参数。根据该参数值可将疵点进行合理的分类统计。该方法可靠便捷 。
The recognition and category of the flaw of Copper Clad Laminates were achieved in this paper. Prewitt edge detection algorithm and histogram analysis were used to pre-process of the images. Edge pixels were tracked by Freeman chain code. According to chain code table, the coordinate of edge pixel can be used to calculate some parameters of the shape character, such as the length, width and area of the aim, especially the circle alike parameter. These methods were effective and credible.
出处
《激光与红外》
CAS
CSCD
北大核心
2004年第6期490-492,共3页
Laser & Infrared
关键词
铜箔基板
边缘提取
链码
形态特征
CCL
edge detection
chain code
shape characteristic
