Robust industrial electric meter digital number recognition method
A technology for digital recognition and electric meters, applied in character and pattern recognition, image data processing, image analysis, etc., can solve problems such as unrobustness, low recognition rate, limitations, etc., achieve algorithm robustness, improve algorithm efficiency, and digital Identify the exact effect
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[0053] The present invention first detects the digital edge in the industrial electric surface panel through the canny operator, and can effectively locate and cut out the digital area; then, based on the numbers in the training set, a classifier is constructed through the KNN algorithm to classify the numbers to be recognized. Specific steps are as follows:
[0054] Step 1. First, the collected industrial meter image I_rgb, such as figure 1 As shown, convert to a grayscale image I_gray, use mean filtering on the grayscale image, and perform preliminary denoising, such as figure 2 shown. The mean filter kernel is: The process of mean filtering is the convolution calculation process:
[0055]
[0056] Step 2, use the Canny operator to extract the edge of the industrial ammeter image for the grayscale image I_noise that has removed the noise, such as image 3 shown. Canny operator for edge detection can effectively suppress the noise, and at the same time can accuratel...
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