An adaptive automobile meter detection method based on character segmentation
cascade classifier which processes threshold segmentation, morphology and connected components analysis on the original image; extracts the pointer based on the
contour analysis method, establishes a pointer information
list; constructs a character segmentation
cascade classifier by combining a HOG / SVM character segmentation classifier, a character filter and a CNN digit classifier. The character segmentation
cascade classifiers is used to identify the digit character area of the automobile meter.
Region analysis is performed to extract
tick marks based on the center of the digit character area. The angular position corresponding to the
tick mark is determined. The response value corresponding to the pointer is determined by establishing the Newton interpolation linear description relationship between the pointer angle and the response value and then the meter is classified as pass or fail. The invention is suitable for the field of
visual inspection of automobile meter pointers.