The invention relates to the field of
image processing, in particular to a tooth
occlusion feature
analysis method based on
image processing. Comprising the following steps: acquiring and preprocessing an
oral cavity image to obtain a preprocessed
oral cavity image; based on the preprocessed
oral cavity image, calculating a
gradient magnitude and a gray
histogram, determining an
occlusion plane, and dividing the tooth boundary
point set into an
upper tooth contour
point set and a
lower tooth contour
point set according to the
occlusion plane; determining an upper and
lower tooth contour contact
point pair set based on the upper and
lower tooth contour point set; and introducing an occlusion geometric feature quantification
algorithm to extract a weighted pressure distribution coefficient and a contact
point density coefficient, comparing the weighted pressure distribution coefficient and the contact
point density coefficient with a clinical standard value range based on an orthodontic clinical
database, analyzing whether the tooth occlusion state is normal, and generating a diagnosis report. The technical problems that upper and lower teeth and an
occlusal plane are difficult to accurately distinguish by a traditional oral
image processing method, and particularly under
noise interference, identification of tooth boundaries and occlusal
wax areas is easy to make mistakes, so that deviation of subsequent occlusal analysis is caused are solved.