Research on Aluminum-Plastic Blister Drug Image Segmentation Method Based on Improved Otsu Theory

Abstract:

In the digital image processing, Otsu algorithm uses the criterion of maximum between-cluster to make image segmentation. In this paper, combined with drug defect detection requirements, the new threshold output functions is put forward which studies on the existing two-dimensional Otsu algorithm in a deep way from the computing complexity and integral effect. The improved algorithm improves the computing speed of the algorithm and optimizes the segmentation effect which is a good segmentation algorithm. The effectiveness of the proposed algorithm has been proved by relevant experiments, and the medicine image segmentation result show that the improved algorithm has a good application prospect in drug defect detection.

• Periodical: Advanced Materials Research (Volumes 962-965)
• Pages: 2797-2800
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.962-965.2797
• Online since: June 2014
• Authors: Hui Jun Yu, Wu Wan*, Chen Yun, Cai Biao Chen
• Keywords: Binary Image, Defect Detection, Two-Dimensional Otsu Algorithm

References

[1] Jianzhuang Liu , Wenqing Li. Gray image of two-dimensional automatic threshold segmentation method [J]. Acta automatica Sinica(in chinese).

[2] Yingming Hao, Feng Zhu. Two-dimensional Otsu adaptive threshold fast algorithm [J]. Chinese journal of image and graphics, 2005, 10 (4) : 484-488.

[3] Xiaodong Li, Lu Chen, Xiuduan Gong. Research of Definition Checking Algorithm of Printing Image Based on Digital Image Processing[J]. Package Engineering, 2009, 01: 2-3(in chinese).

[4] Research and Improvement of image segmentation algorithm based on the theory of Otsu [J]. Science Technology and Engineering, 2010, 22(in chinese).