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《Electronic Measurement Technology》 2018-06
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Binarization method for images acquired under complex environment based on OpenCV

Zhao Shifeng;He Xijian;Institute of Artificial Intelligence & Simulation,Xi'an Technological University;College of Urban and Environmental Sciences,Northwest University;  
The mechanical meter numeral images often acquired under non-uniform illumination and reflection.The traditional methods can't binarize them correctly.To solve the problem,a binarization method based on OpenCV by combining Canny's edge detection with global threshold and local adaptive threshold is proposed.In order to improve the edge detection effect,the high and low threshold parameters for the Canny operator is determined according to the characteristics of the meter numeral images,and the local dynamic threshold is involved for correction.The binarization method is achieved by the fusion of the image edge,global threshold and local adaptive threshold.The test shows that the method can achieve good effect under non-uniform illumination and reflection.
【Fund】: 西安工业大学校长科研基金(XAGDXJJ14014)项目资助
【CateGory Index】: TP391.41
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