基于数学形态学的印品质量在线检测研究

数学形态学以图像形态特征为研究对象,其图像处理算法主要有膨胀运算、腐蚀运算、开运算及闭运算,其应用于图像预处理的方式主要有图像增强、图像分割及噪声滤除等。国内外对数学形态学在印品质量在线检测中的应用进行了广泛而深入的研究,并研制出各种新型自动化印品质量检测设备。印品质量在线检测未来的研究方向主要为:在线检测运动图像采集标准的确立,灰度图像算法在彩色图像处理中的应用,颜色缺陷的分类,图像预处理计算量的减少及实时性的提高等。

Research of On-Line Printing Quality Detection Based on Mathematical Morphology

Mathematical morphology takes image morphological characteristics as the research object, its image processing algorithms are dilation operation, erosion operation, opening operation and closing operation. It is applied in image preprocessing such as image enhancement, image segmentation and noise filtering, etc. A wide-ranging and in-depth research is made on domestic and international applications of mathematical morphology in online printing quality detection and a variety of new automated printing quality testing equipments are developed. The direction of future research on the printing quality online detection is mainly about establishment of the standard of printing quality of motion image capture detection, application of gray image algorithm in color image processing, classification of color defects, the reduction of calculated amount and improvement in instantaneity in the image preprocessing, etc.