Hough circle detection based on image brightness equalization technology
The positioning of chess pieces is a crucial link in the vision system of chess robot.Hough circle transform is the most commonly used circle detection algorithm in the vision system of chess robot.The detection algorithm has the advantages of detecting multiple circles at the same time to meet the needs of real-time detection of chess games,but it also exposes instability in dark lighting environment,resulting in large local shadows and local reflections in the acquired images,which makes the detection deviation.In order to overcome the photosensitivity and enhance the robustness of detection,an image brightness equalization algo-rithm is designed.In order to verify the feasibility of the scheme,a control experiment of Hough circle detection with and without image brightness equalization algorithm is carried out respectively in the dark light source environment.The experimental results show that after adding the image brightness equalization algorithm to the chessboard image collected under the dark light environ-ment,the error can be corrected,the inner contour circle of the chess pieces in the image can be accurately detected,and the pre-cise positioning of the chess pieces can be accurately realized.
brightness equalizationHough circle transformationchess robotbicubic interpolation
NETL
NSTL
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