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作 者:王文举[1] 赵萍[1] 陈伟[1] 谢寒[1] 孙刘杰[1] 姜中敏[1] 陈景华[1]
机构地区:[1]上海理工大学,上海200093
出 处:《包装工程》2015年第17期112-118,130,共8页Packaging Engineering
基 金:上海理工大学;上海市及国家"大学生创新创业训练计划"(XJ2013256;SH2013144;201410252048);2015年"上海高校教师产学研践习计划";上海理工大学博士科研启动基金(1D-13-309-005);上海高校青年教师培养资助计划(slg14039);上海市教委科研创新重点项目(13ZZ111);上海出版传媒研究院;上海出版印刷高等专科学校招标课题(SAYB1408)
摘 要:目的为解决在不同光照强度下,彩色印刷品缺陷检测的实时性和精确性问题,基于CIE L*u*v颜色空间和SURF算法,提出一种面向彩色印刷品缺陷的快速精确检测方法。方法采用中值滤波器,对采集到的待检测印刷图像进行滤波去噪;将采集到的样张图像与待检测印刷图像由RGB颜色空间转换到CIE L*u*v颜色空间;基于SURF算法,构建CIE L*u*v颜色描述向量的122维特征描述符;使用双线程并行方法,计算样张图像与待检测印刷图像中兴趣点间的欧式距离进行匹配,以兴趣点的全部匹配成功来表明待检测印刷图像无缺陷。结果在光照度150~650 lux范围内,能够对常见的位置偏移、墨迹沾染、色彩改变等印刷质量缺陷进行检测,其平均耗时为650 ms。结论该方法所需硬件配置简单,对光照强弱变化有较好的适应性,对常见的印刷质量缺陷能够给予快速精确的检测。The aim of this study was to propose a defect detection method of color printing image based on CIE L*u*v color space and SURF algorithm to solve rapid and accuracy problem under different light intensity. First, pre-treatment was conducted with median filter to eliminate noise of the color printing image. The RGB color space of both standard image and color printing image to be checked was translated into the CIE L*u*v color space. 122-dimensional features vectors of CIE L*u*v color space based on SURF algorithm were constructed. The parallel method of two threads was proposed to match among interesting points from standard image and color printing image to be checked with Euclidean distance. If interesting points of color printing image were all matched with interesting points of standard image, then the color printing image to be checked had no quality defect. Within range of 150~650 lux, this method can detect defects such as position offset, ink contamination, color change, etc., only taking 650 ms. This method of good adaptability to different light intensity can rapidly and effectively detect the defects of color printing image with single hardware configuration.
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