A Novel Quality Detection Approach for Non-mark Printing Image

  • Qiong Zhang
  • Bin LiEmail author
  • Minfen Shen
  • Haihong Shen
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 699)


In printing business, a lot of printing products have no apparent marks for registration, which cause the difficulty of printing image quality auto-detection. Aiming to this problem, a novel quality detection approach for non-mark printing image is proposed in this paper. The proposed approach mainly consists of the region feature based registration region selection and fast shape-based image matching method and an improved difference matching method to detect the printing defects. The proposed approach is realized by the well-known machine vision software HALCON. The experiment results show that the proposed approach can detect the printing defects efficiently with high accuracy, fast speed and strong robustness.


Printing image Defects detection Registration region Non-mark printing image HALCON 



This work is supported by the National Natural Science Foundation of China (No. 61302049), Science and Technology planning Project of Guangdong Province (No. 2015B020233018, No. cgzhzd1105, No. 2012B050300024), Science and Technology Planning Project of Shantou and Open Fund of Guangdong Provincial Key Laboratory of Digital Signal and Image Processing Techniques.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  • Qiong Zhang
    • 1
  • Bin Li
    • 2
    Email author
  • Minfen Shen
    • 3
  • Haihong Shen
    • 4
  1. 1.Shantou University Medical CollegeShantouChina
  2. 2.Shantou Institute of Ultrasonic Instruments Co., Ltd.ShantouChina
  3. 3.Shantou PolytechnicShantouChina
  4. 4.Department of Electronic EngineeringShantou UniversityShantouChina

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