Interpretation algorithm of mechanical digital meters based on morphological features of characters
Xiang Wang · 2010
We presents a fast interpretation algorithm based on morphological features of characters.Smoothing filters to remove noises on grayscale images,and binarized grayscale images used by OTSU algorithm.After the binary operation,the dial region was found through image projection.We extracted edges using the Canny operation,corrected images with Hough transform,and splitted numeric characters from images.In the character interpretation module,this algorithm opened and closed operations to remove noises deeply.It worked through computing the results of weighted morphological features and contrasting morphological features with the feature template,then accurately idenTIF;%95%94ied the value of the meter.Testing results show that the algorithm can achieve high recognition rate and good practicability.