Paper
12 June 2020 Recognition of mechanical sphygmomanometer dial value based on Hough transform
Hao Gu, Qian Huang, Xing Li, Xiaoping Liao
Author Affiliations +
Proceedings Volume 11519, Twelfth International Conference on Digital Image Processing (ICDIP 2020); 115190U (2020) https://doi.org/10.1117/12.2573256
Event: Twelfth International Conference on Digital Image Processing, 2020, Osaka, Japan
Abstract
This paper presents an effective method to recognize mechanical sphygmomanometer dial value based on Hough transform. The edges of image are detected by using the canny operator on the binarized image. Geometric features in the image are obtained based on Hough transform, which includes the center of the dial and the vertex of the pointer. After connecting the center of the dial and the vertex of the pointer, a pointer line segment is obtained, and then an accurate dial value is effectively computed according to the deflection angle of the line segment. Experiments show that the method in this paper has wide applicability and can be used to display the waveform of numerical changes more accurately in the video.
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Hao Gu, Qian Huang, Xing Li, and Xiaoping Liao "Recognition of mechanical sphygmomanometer dial value based on Hough transform", Proc. SPIE 11519, Twelfth International Conference on Digital Image Processing (ICDIP 2020), 115190U (12 June 2020); https://doi.org/10.1117/12.2573256
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KEYWORDS
Hough transforms

Detection and tracking algorithms

Edge detection

Image filtering

Nonlinear filtering

Image processing

Blood pressure

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