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Machine vision-based dental restoration product processing defect classification method

A technology for tooth restoration and machine vision, applied in the field of defect classification, which can solve problems such as inability to process defect classification

Pending Publication Date: 2021-05-14
ANHUI NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the purpose of one or more embodiments of this specification is to propose a method for classifying processing defects of dental restoration products based on machine vision, so as to solve the problem that processing defects cannot be effectively classified

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  • Machine vision-based dental restoration product processing defect classification method
  • Machine vision-based dental restoration product processing defect classification method
  • Machine vision-based dental restoration product processing defect classification method

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Experimental program
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Embodiment approach

[0081] As an implementation, histogram averaging includes:

[0082] Use the median filtering method to remove the white points on the black background and the black points on the target white image, and use a 3×3 filter template to process the image pixels of the dental restoration product;

[0083] Returns the median of the given pixel values ​​according to the following formula:

[0084] g=median[(x-1,y-1)+f(x,y-1)+f(x+1,y-1)+f(x-1,y)+f(x,y)+ f(x+1,y)+f(x-1,y+1)+f(x,y+1)+f(x+1,y+1)]

[0085] Among them, x is the horizontal pixel size, y is the vertical pixel size, g is the gray value of the filtered image, and f is the gray value of the original image. Using median filtering can suppress pulse interference and random noise more effectively. it is good.

[0086] As an implementation manner, processing the image of the dental restoration product further includes:

[0087] Use edge detection to smooth the target image through the Scharr operator, and then perform differenti...

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Abstract

One or more embodiments of the invention provide a machine vision-based dental restoration product processing defect classification method, which comprises the following steps of: firstly, acquiring images of dental restoration products on an assembly line, and finely selecting and preprocessing the images, wherein the preprocessing can highlight target surface features and reduce noise in the images so as to achieve the purpose of improving the precision and speed of a target surface defect detection and classification algorithm, then elimnating the problem of illumination variation to a certain extent by using an LBP defect feature extraction method, wherein the calculation speed is high; and finally, designing the SVM classifier to quickly and accurately classify and recognize the defects on the surface of the dental restoration product.

Description

technical field [0001] One or more embodiments of this specification relate to the technical field of defect classification, and in particular to a method for classifying processing defects of dental restoration products based on machine vision. Background technique [0002] Tooth restoration mainly refers to the treatment of tooth defects and tooth loss, such as inlays, full crowns, dentures, etc., and also includes the treatment of periodontal disease, temporomandibular joint disease and maxillofacial tissue defects using artificial restorations. The commonly used materials for dental restoration products are alloys, porcelain, and resins. Among them, the commonly used materials for fixed restorations are alloys and porcelain, and the commonly used materials for movable restorations are resins and alloys. [0003] At present, the processing defects of dental restoration products mainly include scratches, spots, and holes, which are caused by the different states of proces...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/34G06K9/46G06K9/62G06T7/00G06T5/00
CPCG06T7/0002G06V10/267G06V10/40G06V10/44G06V10/467G06F18/2411G06T5/90
Inventor 朱勇郑贤锋刘大鹏
Owner ANHUI NORMAL UNIV