A Robust Pointer Meter Reading Recognition Method Based on TransUNet and Perspective Transformation Correction
Liufan Tan,
Wanneng Wu,
Jinxin Ding
et al.
Abstract:The automatic reading recognition of pointer meters plays a crucial role in data monitoring and analysis in intelligent substations. Existing meter reading methods struggle to address challenging difficulties such as image distortion and varying illumination. To enhance their robustness and accuracy, this study proposes a novel approach that leverages the TransUNet semantic segmentation model and a perspective transformation correction method. Initially, the dial of the pointer meter is localized from the natu… Show more
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