TITLE:
Double Image Segmentation Algorithm for Tick-Mark Recognition of Analog Instrument
AUTHORS:
Guidong Liu, Baoling Zhou, Wei Xie
KEYWORDS:
Machine Vision, Image Segmentation, Analog Instrument, Tick-Mark
JOURNAL NAME:
World Journal of Engineering and Technology,
Vol.9 No.2,
May
27,
2021
ABSTRACT: Tick-mark recognition is a key step for automatic reading of analog instrument with computer vision techniques which is called for in many automatic processes among industries. As many factors result in the tick-mark distortion in the sampled image such as the generally stained surface of instrument, or/and reflection and refraction of light, the accuracy and robustness of tick-mark reading are directly or indirectly weakened. Double image segmentation algorithm (DISA) is employed to solve this problem which makescoarse segmentation with structural parameters of instruments, and makesaccurate segmentation with gray difference between tick-marks and their background. Tests have been conducted with 640 * 480 pixel industry camera and 4 kinds of pointer pressure meter, and the results show that read-out rate of tick-mark in pointer meter reached 100% at sufficient illumination and 76% at insufficient illumination for air packed instrument. In addition with oil packed instrument, DISA still experienced 64% recognition in comparison with 0 success record by Hough Transformation.