印刷星标的Gabor纹理特征分析与自动识别研究-计算机工程与应用.pdf

230 2014 ，50（17） Computer Engineering and Applications 计算机工程与应用 印刷星标的Gabor 纹理特征分析与自动识别研究 1 2 2 2 徐卓飞 ，张海燕 ，徐倩倩 ，向 晨 1 2 2 2 XU Zhuofei , ZHANG Haiyan , XU Qianqian , XIANG Chen 1.西安理工大学 机械与精密仪器工程学院，西安 710048 2.西安理工大学 印刷包装工程学院，西安 710048 1.School of Mechanical and Precision Instrument Engineering, Xi ’an University of Technology, Xi ’an 710048, China 2.School of Printing and Packaging Engineering, Xi ’an University of Technology, Xi ’an 710048, China XU Zhuofei, ZHANG Haiyan, XU Qianqian, et al. Study on automatic identification and texture analysis with Gabor filtering for printing label. Computer Engineering and Applications, 2014, 50 （17）：230-235. Abstract ：Printing label is the main way to monitor the state of ink balance. As the control for printing ink balance mainly depends on human experience, there are some problems such as strong subjectivity and low efficiency. In this study, the digital image processing and pattern recognition algorithm are used to solve the problem mentioned above and realize the automatic monitoring and identification of the balance of ink and water. The feature of printing label is abstracted with a 2D-Gabor filter and analyzed with a principal component analysis. SVM nets are trained to identify the statement of water and ink with the result of PCA and it has a qualified accuracy in application. This study has a significant in reducing the debugging time and cost of equipment. Both the quality and automation degree of printing will be improved. Key words ：printing label; 2D-Gabor filtering; ink-water balance; Support Vector Machine （SVM ）; Principal Component Analysis （PCA ） 摘 要：印刷星标是判断水墨平衡的重要方式，由于其同时受到水墨关系与光照等因素影响，难以通过一般灰度分 析方法准确判断，故提出通过图像纹理识别星标，以实现水墨状态的自动判断。内容包括印刷星标的采集与预处 理，基于2D-Gabor 的印刷星标纹理特征提取与融合PCA 分析的纹理特征集降维，最后利用SVM 实现决策网络的构 建，实现了印刷机工作中对星标的自动识别，相关研究结果在减少调试维修设备工时和成本、提高印刷调节效率、快 速实现水墨平衡等方面具有实际应用价值。 关键词