摘要
当前液晶屏类产品图像缺陷主要依靠人工检测,该文算法实现了图像缺陷的自动实时检测。首先通过Direct Show技术从图像采集卡缓存区快速获取实时图像;其次,将多帧实时图像加权平均,剔除坏帧,通过高斯金字塔采样去噪及分别从RGB三通道递归迭代获得分割阈值,提取屏幕矩形外框,自动校正手机姿势,继而提取ROI,完成图像的预处理;最后,利用Canny算法检测缺陷轮廓,结合Douglas-Peucker算法与弗里曼链码提取缺陷信息,最终检测手机屏幕图像缺陷:坏点数目,几何失真度,色差。算法实时、高效,依托相关国家标准,可广泛应用于液晶屏类产品的图像缺陷检测,具有一定的推广价值。
Currently,the image defects of LCD products mainly rely on manual detection.This algorithm realizes automatic real-time detection of image defects.Firstly,the real-time images are captured from the buffer of image acquisition card quickly by DirectShow technology.Then the weighted-averaged frame of real-time frames can reduce the bad effect of the bad frames.It removes the noise by Gaussian pyramid sampling.Dynamic threshold value,getting from each RGB 3-channels by recursive iteration,is helpful to detecting the screen rectangle,and then auto-correcting the cell phone position,extracting ROI,completing the image preprocessing.Finally,it detects the contours of defect using the Canny algorithm,and combined with DouglasPeucker algorithm and Freeman chain code,it extracts the information of defect,and then tests the image defects of phone screen：the number of bad pixels,geometric distortion,chromatic aberration.This algorithm is real-time and efficient.It can be widely used in LCD products for image defect detection relying on the relevant national standards,and it is worth promoting.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第28期77-79,共3页
Computer Engineering and Applications
关键词
缺陷提取
感兴趣区域(ROI)识别
实时检测
手机液晶屏
defect extraction
Region of Interest（ROI） identification
real time detection
phone LCD screen
作者简介
刘波（1986-），男，硕士，研究方向为数字图像处理；E—mail：034080116@163．com
李新华（1968-），男，副教授，硕士生导师，研究方向为数字图像处理、MCAI。
