Medical Bottle Tightness Detection Based on Digital Image Processing

Abstract:

This paper presents a medical bottle detecting system based on image processing, and completing the tightness detection task for the installation of vial and cap. Firstly, the image of the bottle is captured by using the background subtraction method; secondly, getting the ideal threshold T by the iterative formulae and carrying on linearization processing for image; then, the ideal target image of medical bottle can be obtained by using morphologic operations. Finally, using the 8-directional chain code to calculate the circumference, area and height of bottle. The image processing course and experimental results are discussed at the end of the thesis. The experimental result shows that this algorithm is effective and accurate.

• Periodical: Applied Mechanics and Materials (Volumes 397-400)
• Pages: 2340-2343
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.397-400.2340
• Online since: September 2013
• Authors: Bao Jun Wang, Guang Yan Yang
• Keywords: 8-Directional Chain Code, Background Subtraction, Image Processing, Medical Bottle, Morphologic Operation, Tightness Detection

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