一种基于边缘提取的印刷品斑点检测方法

A Prints Blobs Detection Method Based on Edge Extraction

先对标准印刷品图像利用Robert算子检测出边缘,并利用形态学的方法对边缘进行膨胀。接着用HOUGH变换检测待测图像与背景相交的两条直线,以此将其与标准图像配准。在边缘点处,利用象素的灰度、邻域内的平均灰度、象素梯度方向信息进行对应象素的比较,当差别较大时被认为是一个疑点;在非边缘点处,直接利用灰度、邻域内平均灰度信息比较,差别较大时被认为是一个疑点。最后,对疑点图像进行斑点分析。实验结果表明,提出的方法能较快、较准地检测出印刷品当中的斑点。

Firstly, this method detects the standard image edges using the Robert operator. Then edges are dilated through morphology methods as the detecting image, we register it after its edge lines are detected. For the image＇s edge part and non - edge part pixels,we use different image pixel information to compare the points in the detecting image to the correspond points in the standard image, problem points can be found. Finally, we decide whether there is some blobs in the detecting image through these problem points. Experiments show that this algorithm is fast and effective.